Overview

Dataset statistics

Number of variables137
Number of observations548127
Missing cells8034550
Missing cells (%)10.7%
Duplicate rows2941
Duplicate rows (%)0.5%
Total size in memory572.9 MiB
Average record size in memory1.1 KiB

Variable types

NUM76
CAT56
BOOL5

Warnings

NU_ANO has constant value "548127" Constant
NU_ITEM_OFG has constant value "548127" Constant
NU_ITEM_OFG_Z has constant value "548127" Constant
NU_ITEM_OFG_X has constant value "548127" Constant
NU_ITEM_OFG_N has constant value "548127" Constant
NU_ITEM_OCE has constant value "548127" Constant
NU_ITEM_OCE_N has constant value "548127" Constant
DS_VT_GAB_OFG_ORIG has constant value "548127" Constant
DS_VT_GAB_OFG_FIN has constant value "548127" Constant
Dataset has 2941 (0.5%) duplicate rows Duplicates
DS_VT_ESC_OFG has a high cardinality: 102006 distinct values High cardinality
DS_VT_ESC_OCE has a high cardinality: 460675 distinct values High cardinality
DS_VT_ACE_OCE has a high cardinality: 325046 distinct values High cardinality
NT_GER has a high cardinality: 911 distinct values High cardinality
NT_FG has a high cardinality: 910 distinct values High cardinality
NT_DIS_FG has a high cardinality: 197 distinct values High cardinality
NT_CE has a high cardinality: 916 distinct values High cardinality
NT_OBJ_CE has a high cardinality: 176 distinct values High cardinality
NT_DIS_CE has a high cardinality: 61 distinct values High cardinality
DS_VT_ESC_OFG has 85892 (15.7%) missing values Missing
DS_VT_ACE_OFG has 85378 (15.6%) missing values Missing
DS_VT_ESC_OCE has 85892 (15.7%) missing values Missing
DS_VT_ACE_OCE has 85378 (15.6%) missing values Missing
NT_GER has 85895 (15.7%) missing values Missing
NT_FG has 85895 (15.7%) missing values Missing
NT_OBJ_FG has 85895 (15.7%) missing values Missing
NT_DIS_FG has 85895 (15.7%) missing values Missing
NT_FG_D1 has 85895 (15.7%) missing values Missing
NT_FG_D1_PT has 85892 (15.7%) missing values Missing
NT_FG_D1_CT has 85892 (15.7%) missing values Missing
NT_FG_D2 has 85895 (15.7%) missing values Missing
NT_FG_D2_PT has 85892 (15.7%) missing values Missing
NT_FG_D2_CT has 85892 (15.7%) missing values Missing
NT_CE has 85895 (15.7%) missing values Missing
NT_OBJ_CE has 85895 (15.7%) missing values Missing
NT_DIS_CE has 85895 (15.7%) missing values Missing
NT_CE_D1 has 85895 (15.7%) missing values Missing
NT_CE_D2 has 85895 (15.7%) missing values Missing
NT_CE_D3 has 85895 (15.7%) missing values Missing
CO_RS_I1 has 85745 (15.6%) missing values Missing
CO_RS_I2 has 85745 (15.6%) missing values Missing
CO_RS_I3 has 85745 (15.6%) missing values Missing
CO_RS_I4 has 85745 (15.6%) missing values Missing
CO_RS_I5 has 85745 (15.6%) missing values Missing
CO_RS_I6 has 85745 (15.6%) missing values Missing
CO_RS_I7 has 85745 (15.6%) missing values Missing
CO_RS_I8 has 85745 (15.6%) missing values Missing
CO_RS_I9 has 85745 (15.6%) missing values Missing
QE_I01 has 62619 (11.4%) missing values Missing
QE_I02 has 62618 (11.4%) missing values Missing
QE_I03 has 62618 (11.4%) missing values Missing
QE_I04 has 62618 (11.4%) missing values Missing
QE_I05 has 62618 (11.4%) missing values Missing
QE_I06 has 62618 (11.4%) missing values Missing
QE_I07 has 62618 (11.4%) missing values Missing
QE_I08 has 62618 (11.4%) missing values Missing
QE_I09 has 62618 (11.4%) missing values Missing
QE_I10 has 62618 (11.4%) missing values Missing
QE_I11 has 62618 (11.4%) missing values Missing
QE_I12 has 62618 (11.4%) missing values Missing
QE_I13 has 62618 (11.4%) missing values Missing
QE_I14 has 62618 (11.4%) missing values Missing
QE_I15 has 62618 (11.4%) missing values Missing
QE_I16 has 62618 (11.4%) missing values Missing
QE_I17 has 62618 (11.4%) missing values Missing
QE_I18 has 62618 (11.4%) missing values Missing
QE_I19 has 62618 (11.4%) missing values Missing
QE_I20 has 62618 (11.4%) missing values Missing
QE_I21 has 62618 (11.4%) missing values Missing
QE_I22 has 62618 (11.4%) missing values Missing
QE_I23 has 62618 (11.4%) missing values Missing
QE_I24 has 62618 (11.4%) missing values Missing
QE_I25 has 62618 (11.4%) missing values Missing
QE_I26 has 310878 (56.7%) missing values Missing
QE_I27 has 66946 (12.2%) missing values Missing
QE_I28 has 78634 (14.3%) missing values Missing
QE_I29 has 66947 (12.2%) missing values Missing
QE_I30 has 67953 (12.4%) missing values Missing
QE_I31 has 66799 (12.2%) missing values Missing
QE_I32 has 71950 (13.1%) missing values Missing
QE_I33 has 66072 (12.1%) missing values Missing
QE_I34 has 67431 (12.3%) missing values Missing
QE_I35 has 66894 (12.2%) missing values Missing
QE_I36 has 66624 (12.2%) missing values Missing
QE_I37 has 69537 (12.7%) missing values Missing
QE_I38 has 67664 (12.3%) missing values Missing
QE_I39 has 70538 (12.9%) missing values Missing
QE_I40 has 85998 (15.7%) missing values Missing
QE_I41 has 69857 (12.7%) missing values Missing
QE_I42 has 65972 (12.0%) missing values Missing
QE_I43 has 91516 (16.7%) missing values Missing
QE_I44 has 99891 (18.2%) missing values Missing
QE_I45 has 81584 (14.9%) missing values Missing
QE_I46 has 147493 (26.9%) missing values Missing
QE_I47 has 79302 (14.5%) missing values Missing
QE_I48 has 80746 (14.7%) missing values Missing
QE_I49 has 68699 (12.5%) missing values Missing
QE_I50 has 142448 (26.0%) missing values Missing
QE_I51 has 109889 (20.0%) missing values Missing
QE_I52 has 175581 (32.0%) missing values Missing
QE_I53 has 194195 (35.4%) missing values Missing
QE_I54 has 84678 (15.4%) missing values Missing
QE_I55 has 69807 (12.7%) missing values Missing
QE_I56 has 80471 (14.7%) missing values Missing
QE_I57 has 66983 (12.2%) missing values Missing
QE_I58 has 77333 (14.1%) missing values Missing
QE_I59 has 74628 (13.6%) missing values Missing
QE_I60 has 94765 (17.3%) missing values Missing
QE_I61 has 73402 (13.4%) missing values Missing
QE_I62 has 103707 (18.9%) missing values Missing
QE_I63 has 110692 (20.2%) missing values Missing
QE_I64 has 80579 (14.7%) missing values Missing
QE_I65 has 103082 (18.8%) missing values Missing
QE_I66 has 81450 (14.9%) missing values Missing
QE_I67 has 100640 (18.4%) missing values Missing
QE_I68 has 80283 (14.6%) missing values Missing
ANO_FIM_EM is highly skewed (γ1 = -81.20663221) Skewed
NU_ITEM_OCE_X has 24625 (4.5%) zeros Zeros
DS_VT_ACE_OFG has 9085 (1.7%) zeros Zeros
NT_FG_D1 has 60793 (11.1%) zeros Zeros
NT_FG_D1_PT has 58508 (10.7%) zeros Zeros
NT_FG_D1_CT has 74507 (13.6%) zeros Zeros
NT_FG_D2 has 59849 (10.9%) zeros Zeros
NT_FG_D2_PT has 57993 (10.6%) zeros Zeros
NT_FG_D2_CT has 72072 (13.1%) zeros Zeros
NT_CE_D1 has 156644 (28.6%) zeros Zeros
NT_CE_D2 has 213984 (39.0%) zeros Zeros
NT_CE_D3 has 160180 (29.2%) zeros Zeros

Reproduction

Analysis started2020-09-29 22:04:50.399050
Analysis finished2020-09-29 22:05:24.408278
Duration34.01 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

NU_ANO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
2018
548127 
ValueCountFrequency (%) 
2018548127100.0%
 
2020-09-29T19:05:24.640891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_IES
Real number (ℝ≥0)

Distinct1762
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1505.26814
Minimum1
Maximum23410
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:24.874092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24
Q1322
median670
Q31561
95-th percentile4724
Maximum23410
Range23409
Interquartile range (IQR)1239

Descriptive statistics

Standard deviation2531.483186
Coefficient of variation (CV)1.681748997
Kurtosis22.5547673
Mean1505.26814
Median Absolute Deviation (MAD)507
Skewness4.405747281
Sum825078110
Variance6408407.121
MonotocityNot monotonic
2020-09-29T19:05:25.111515image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
163247074.5%
 
322233104.3%
 
298183043.3%
 
1491114442.1%
 
31695841.7%
 
147283461.5%
 
37456251.0%
 
46654941.0%
 
110746400.8%
 
33846030.8%
 
Other values (1752)43207078.8%
 
ValueCountFrequency (%) 
16230.1%
 
218540.3%
 
311550.2%
 
47920.1%
 
514760.3%
 
ValueCountFrequency (%) 
23410154< 0.1%
 
2047831< 0.1%
 
1986321< 0.1%
 
1986219< 0.1%
 
1986119< 0.1%
 

CO_CATEGAD
Real number (ℝ≥0)

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7959.837047
Minimum93
Maximum17634
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:25.327672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile118
Q110002
median10005
Q310007
95-th percentile10008
Maximum17634
Range17541
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4030.07443
Coefficient of variation (CV)0.5063011222
Kurtosis0.08510810706
Mean7959.837047
Median Absolute Deviation (MAD)3
Skewness-1.409236876
Sum4363001601
Variance16241499.91
MonotocityNot monotonic
2020-09-29T19:05:25.596866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
1000522151540.4%
 
1000812738523.2%
 
1186850312.5%
 
10002421317.7%
 
121246084.5%
 
10007169793.1%
 
10001151012.8%
 
11598831.8%
 
1000363401.2%
 
9360231.1%
 
Other values (5)96591.8%
 
ValueCountFrequency (%) 
9360231.1%
 
11598831.8%
 
11618990.3%
 
1186850312.5%
 
12031040.6%
 
ValueCountFrequency (%) 
176348110.1%
 
1000910320.2%
 
1000812738523.2%
 
10007169793.1%
 
1000628130.5%
 

CO_ORGACAD
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10024.39377
Minimum10019
Maximum10028
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:25.797349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10019
5-th percentile10020
Q110022
median10022
Q310028
95-th percentile10028
Maximum10028
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.530984724
Coefficient of variation (CV)0.000352239228
Kurtosis-1.84093406
Mean10024.39377
Median Absolute Deviation (MAD)2
Skewness-0.04734146256
Sum5494640885
Variance12.46785312
MonotocityNot monotonic
2020-09-29T19:05:25.978281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
1002826052147.5%
 
1002215048627.5%
 
1002013306024.3%
 
1002638950.7%
 
10019165< 0.1%
 
ValueCountFrequency (%) 
10019165< 0.1%
 
1002013306024.3%
 
1002215048627.5%
 
1002638950.7%
 
1002826052147.5%
 
ValueCountFrequency (%) 
1002826052147.5%
 
1002638950.7%
 
1002215048627.5%
 
1002013306024.3%
 
10019165< 0.1%
 

CO_GRUPO
Real number (ℝ≥0)

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.6674767
Minimum1
Maximum804
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:26.176347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median13
Q338
95-th percentile803
Maximum804
Range803
Interquartile range (IQR)36

Descriptive statistics

Standard deviation176.4846411
Coefficient of variation (CV)2.647237451
Kurtosis12.93561733
Mean66.6674767
Median Absolute Deviation (MAD)12
Skewness3.78584589
Sum36542244
Variance31146.82854
MonotocityNot monotonic
2020-09-29T19:05:26.399128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
214542526.5%
 
112040522.0%
 
226247511.4%
 
18404507.4%
 
38246254.5%
 
86241614.4%
 
804172663.1%
 
94126762.3%
 
803114472.1%
 
85108932.0%
 
Other values (17)7830414.3%
 
ValueCountFrequency (%) 
112040522.0%
 
214542526.5%
 
1395821.7%
 
18404507.4%
 
226247511.4%
 
ValueCountFrequency (%) 
804172663.1%
 
803114472.1%
 
10650520.9%
 
10515380.3%
 
10433290.6%
 

CO_CURSO
Real number (ℝ≥0)

Distinct8813
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean330678.3843
Minimum1
Maximum5001389
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:26.646218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5275
Q120762
median77713
Q3116140
95-th percentile1268886
Maximum5001389
Range5001388
Interquartile range (IQR)95378

Descriptive statistics

Standard deviation689785.4159
Coefficient of variation (CV)2.085970685
Kurtosis24.06280309
Mean330678.3843
Median Absolute Deviation (MAD)45831
Skewness4.245994273
Sum1.812537507e+11
Variance4.7580392e+11
MonotocityNot monotonic
2020-09-29T19:05:26.900114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9798078971.4%
 
9799047000.9%
 
9798245840.8%
 
12129736080.7%
 
11172027270.5%
 
12109326700.5%
 
10032624520.4%
 
794020100.4%
 
118592818090.3%
 
10029617730.3%
 
Other values (8803)51389793.8%
 
ValueCountFrequency (%) 
182< 0.1%
 
229< 0.1%
 
732< 0.1%
 
875< 0.1%
 
13122< 0.1%
 
ValueCountFrequency (%) 
500138924< 0.1%
 
50013842790.1%
 
500138217< 0.1%
 
500138019< 0.1%
 
500137911< 0.1%
 

CO_MODALIDADE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
1
451200 
2
96927 
ValueCountFrequency (%) 
145120082.3%
 
29692717.7%
 
2020-09-29T19:05:27.131672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_MUNIC_CURSO
Real number (ℝ≥0)

Distinct761
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3465789.662
Minimum1100023
Maximum5300108
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:27.366691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1100023
5-th percentile1721000
Q13106200
median3530607
Q34113205
95-th percentile5201108
Maximum5300108
Range4200085
Interquartile range (IQR)1007005

Descriptive statistics

Standard deviation870451.4364
Coefficient of variation (CV)0.2511552983
Kurtosis0.3602177502
Mean3465789.662
Median Absolute Deviation (MAD)576295
Skewness-0.1925554517
Sum1.89969289e+12
Variance7.576857031e+11
MonotocityNot monotonic
2020-09-29T19:05:27.598397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
35503086708912.2%
 
3304557354466.5%
 
4106902226814.1%
 
4113700204793.7%
 
3106200153622.8%
 
2304400136562.5%
 
5300108132422.4%
 
2927408120292.2%
 
261160698051.8%
 
420750283461.5%
 
Other values (751)32999260.2%
 
ValueCountFrequency (%) 
1100023162< 0.1%
 
11000494890.1%
 
110010626< 0.1%
 
110011450< 0.1%
 
11001224030.1%
 
ValueCountFrequency (%) 
5300108132422.4%
 
5221858104< 0.1%
 
522160145< 0.1%
 
5221403147< 0.1%
 
522060326< 0.1%
 

CO_UF_CURSO
Real number (ℝ≥0)

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.47283932
Minimum11
Maximum53
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:27.805525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile17
Q131
median35
Q341
95-th percentile52
Maximum53
Range42
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.702385907
Coefficient of variation (CV)0.2524418086
Kurtosis0.3482478355
Mean34.47283932
Median Absolute Deviation (MAD)6
Skewness-0.1508003737
Sum18895494
Variance75.73152048
MonotocityNot monotonic
2020-09-29T19:05:28.021754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
3514164125.8%
 
416492811.8%
 
335462610.0%
 
31486078.9%
 
43307695.6%
 
42275025.0%
 
29209103.8%
 
26188353.4%
 
23175523.2%
 
52151352.8%
 
Other values (17)10762219.6%
 
ValueCountFrequency (%) 
1130580.6%
 
1212920.2%
 
1384461.5%
 
1414060.3%
 
1582601.5%
 
ValueCountFrequency (%) 
53132422.4%
 
52151352.8%
 
5175361.4%
 
5092911.7%
 
43307695.6%
 

CO_REGIAO_CURSO
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.107015345
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:28.221923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9623325594
Coefficient of variation (CV)0.3097289368
Kurtosis-0.1275607103
Mean3.107015345
Median Absolute Deviation (MAD)1
Skewness0.003013031627
Sum1703039
Variance0.926083955
MonotocityNot monotonic
2020-09-29T19:05:28.422462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
325223746.0%
 
412319922.5%
 
210002518.2%
 
5452048.2%
 
1274625.0%
 
ValueCountFrequency (%) 
1274625.0%
 
210002518.2%
 
325223746.0%
 
412319922.5%
 
5452048.2%
 
ValueCountFrequency (%) 
5452048.2%
 
412319922.5%
 
325223746.0%
 
210002518.2%
 
1274625.0%
 

NU_IDADE
Real number (ℝ≥0)

Distinct74
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.35259164
Minimum4
Maximum94
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:28.669812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile21
Q123
median26
Q333
95-th percentile47
Maximum94
Range90
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.233140096
Coefficient of variation (CV)0.2804910788
Kurtosis2.319087268
Mean29.35259164
Median Absolute Deviation (MAD)4
Skewness1.515580824
Sum16088948
Variance67.78459583
MonotocityNot monotonic
2020-09-29T19:05:29.008148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
236686012.2%
 
22540709.9%
 
24537309.8%
 
25407767.4%
 
26325185.9%
 
27278845.1%
 
28239574.4%
 
29212303.9%
 
21206903.8%
 
30196403.6%
 
Other values (64)18677234.1%
 
ValueCountFrequency (%) 
41< 0.1%
 
51< 0.1%
 
111< 0.1%
 
121< 0.1%
 
141< 0.1%
 
ValueCountFrequency (%) 
942< 0.1%
 
861< 0.1%
 
851< 0.1%
 
834< 0.1%
 
813< 0.1%
 

TP_SEXO
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
F
325579 
M
222548 
ValueCountFrequency (%) 
F32557959.4%
 
M22254840.6%
 
2020-09-29T19:05:29.224320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ANO_FIM_EM
Real number (ℝ≥0)

SKEWED

Distinct104
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2008.260728
Minimum0
Maximum2686
Zeros4
Zeros (%)< 0.1%
Memory size4.2 MiB
2020-09-29T19:05:29.440314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1995
Q12006
median2011
Q32013
95-th percentile2014
Maximum2686
Range2686
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.758839083
Coefficient of variation (CV)0.004859348663
Kurtosis14866.96602
Mean2008.260728
Median Absolute Deviation (MAD)3
Skewness-81.20663221
Sum1100781928
Variance95.23494024
MonotocityNot monotonic
2020-09-29T19:05:29.689212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20139444117.2%
 
20126323711.5%
 
20145465110.0%
 
2011429397.8%
 
2010384317.0%
 
2009282355.2%
 
2008243234.4%
 
2007204013.7%
 
2006182523.3%
 
2005166053.0%
 
Other values (94)14661226.7%
 
ValueCountFrequency (%) 
04< 0.1%
 
10001< 0.1%
 
10122< 0.1%
 
10132< 0.1%
 
10921< 0.1%
 
ValueCountFrequency (%) 
26861< 0.1%
 
25351< 0.1%
 
22221< 0.1%
 
22081< 0.1%
 
22071< 0.1%
 

ANO_IN_GRAD
Real number (ℝ≥0)

Distinct45
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2014.307055
Minimum1973
Maximum2099
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:29.909962image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1973
5-th percentile2011
Q12014
median2014
Q32015
95-th percentile2017
Maximum2099
Range126
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.99369831
Coefficient of variation (CV)0.0009897688165
Kurtosis51.01611843
Mean2014.307055
Median Absolute Deviation (MAD)1
Skewness-1.12133642
Sum1104088026
Variance3.974832951
MonotocityNot monotonic
2020-09-29T19:05:30.141695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%) 
201417070731.1%
 
201515375128.1%
 
20175606110.2%
 
20135559910.1%
 
2016444428.1%
 
2012248954.5%
 
2011135022.5%
 
201878881.4%
 
201076421.4%
 
200945420.8%
 
Other values (35)90941.7%
 
ValueCountFrequency (%) 
19731< 0.1%
 
19782< 0.1%
 
19791< 0.1%
 
19821< 0.1%
 
19832< 0.1%
 
ValueCountFrequency (%) 
20993< 0.1%
 
20982< 0.1%
 
20971< 0.1%
 
20931< 0.1%
 
20221< 0.1%
 

CO_TURNO_GRADUACAO
Categorical

Distinct4
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size4.2 MiB
4
392803 
1
91041 
3
47907 
2
 
16372
ValueCountFrequency (%) 
439280371.7%
 
19104116.6%
 
3479078.7%
 
2163723.0%
 
(Missing)4< 0.1%
 
2020-09-29T19:05:30.389105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

TP_INSCRICAO_ADM
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
548121 
1
 
5
2
 
1
ValueCountFrequency (%) 
0548121> 99.9%
 
15< 0.1%
 
21< 0.1%
 
2020-09-29T19:05:30.611873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

TP_INSCRICAO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
548122 
1
 
5
ValueCountFrequency (%) 
0548122> 99.9%
 
15< 0.1%
 

NU_ITEM_OFG
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
8
548127 
ValueCountFrequency (%) 
8548127100.0%
 
2020-09-29T19:05:30.827696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NU_ITEM_OFG_Z
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
548127 
ValueCountFrequency (%) 
0548127100.0%
 

NU_ITEM_OFG_X
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
548127 
ValueCountFrequency (%) 
0548127100.0%
 

NU_ITEM_OFG_N
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
548127 
ValueCountFrequency (%) 
0548127100.0%
 

NU_ITEM_OCE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
27
548127 
ValueCountFrequency (%) 
27548127100.0%
 
2020-09-29T19:05:31.028139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NU_ITEM_OCE_Z
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
341077 
1
139932 
2
67118 
ValueCountFrequency (%) 
034107762.2%
 
113993225.5%
 
26711812.2%
 
2020-09-29T19:05:31.247837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NU_ITEM_OCE_X
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.579902103
Minimum0
Maximum9
Zeros24625
Zeros (%)4.5%
Memory size4.2 MiB
2020-09-29T19:05:31.444674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median8
Q38
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.405056829
Coefficient of variation (CV)0.3655155945
Kurtosis0.446507293
Mean6.579902103
Median Absolute Deviation (MAD)1
Skewness-1.223249972
Sum3606622
Variance5.78429835
MonotocityNot monotonic
2020-09-29T19:05:31.629531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
826583048.5%
 
46256811.4%
 
96247511.4%
 
7481588.8%
 
3447738.2%
 
0246254.5%
 
6223184.1%
 
591141.7%
 
282661.5%
 
ValueCountFrequency (%) 
0246254.5%
 
282661.5%
 
3447738.2%
 
46256811.4%
 
591141.7%
 
ValueCountFrequency (%) 
96247511.4%
 
826583048.5%
 
7481588.8%
 
6223184.1%
 
591141.7%
 

NU_ITEM_OCE_N
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
548127 
ValueCountFrequency (%) 
0548127100.0%
 

DS_VT_GAB_OFG_ORIG
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
CACBEBDE
548127 
ValueCountFrequency (%) 
CACBEBDE548127100.0%
 
2020-09-29T19:05:31.845526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DS_VT_GAB_OFG_FIN
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
CACBEBDE
548127 
ValueCountFrequency (%) 
CACBEBDE548127100.0%
 
2020-09-29T19:05:32.045916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DS_VT_GAB_OCE_ORIG
Categorical

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
CCAADADBECCDEDBECDAEBBBDBCE
145425 
ADBBDEDCEEDCAEZADBCBDABECBB
120405 
DAEBDCACCEBADDCAZZDCEBEDBAB
62475 
DCEEDBABDEDEAADADAECADEEBAC
40450 
DBBCACAEDEBEBDDECCDCEADEBDD
24625 
Other values (22)
154747 
ValueCountFrequency (%) 
CCAADADBECCDEDBECDAEBBBDBCE14542526.5%
 
ADBBDEDCEEDCAEZADBCBDABECBB12040522.0%
 
DAEBDCACCEBADDCAZZDCEBEDBAB6247511.4%
 
DCEEDBABDEDEAADADAECADEEBAC404507.4%
 
DBBCACAEDEBEBDDECCDCEADEBDD246254.5%
 
EBBACDBADAEDEBECBABDCCBDBEC241614.4%
 
AEDAADCECDECEEBCCABCCAEDBBD172663.1%
 
AEBACEABDDABBBDDCECCDBDEEAC126762.3%
 
DEEECDACDCADAACEEAEBBCBCDBB114472.1%
 
BEAABACDCDBECDCBCDAEAEDCEDB108932.0%
 
Other values (17)7830414.3%
 
2020-09-29T19:05:32.277700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DS_VT_GAB_OCE_FIN
Categorical

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
CXAADADBEXXDEXXECXAEXBBXBCE
145425 
XXBXDEDXEEDCAEZADBCBXAXECXX
120405 
XXEXXCACCEBADXCAZZXXEBXDBXB
62475 
XCEEDBXBDEDEAADADAECADEEXAC
40450 
DBBCACAEDEBEBDDECCDCEADEBDD
24625 
Other values (22)
154747 
ValueCountFrequency (%) 
CXAADADBEXXDEXXECXAEXBBXBCE14542526.5%
 
XXBXDEDXEEDCAEZADBCBXAXECXX12040522.0%
 
XXEXXCACCEBADXCAZZXXEBXDBXB6247511.4%
 
XCEEDBXBDEDEAADADAECADEEXAC404507.4%
 
DBBCACAEDEBEBDDECCDCEADEBDD246254.5%
 
XBXAXXXADAEDEXECBABDXCBDBEC241614.4%
 
AEDAXDCECDECXEXCXABCCAEXBXD172663.1%
 
AEBACXABDXXBBXDXCECCXBDEEAX126762.3%
 
DEEECDAXDCADXAXEEAEBBCBCXBB114472.1%
 
BEXABACDXDBECDXBCDAEAEXCEDB108932.0%
 
Other values (17)7830414.3%
 
2020-09-29T19:05:32.531377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DS_VT_ESC_OFG
Categorical

HIGH CARDINALITY
MISSING

Distinct102006
Distinct (%)22.1%
Missing85892
Missing (%)15.7%
Memory size4.2 MiB
CACBEBDE
 
17444
CACBEDDE
 
5636
CACCEBDE
 
4653
CACBDBDE
 
4102
CACCEDDE
 
2495
Other values (102001)
427905 
ValueCountFrequency (%) 
CACBEBDE174443.2%
 
CACBEDDE56361.0%
 
CACCEBDE46530.8%
 
CACBDBDE41020.7%
 
CACCEDDE24950.5%
 
CAABEBDE22550.4%
 
CACBEBBE20050.4%
 
CACCDBDE17120.3%
 
CAEBEBDE16390.3%
 
CADBEBDE15790.3%
 
Other values (101996)41871576.4%
 
(Missing)8589215.7%
 
2020-09-29T19:05:33.211777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique58970 ?
Unique (%)12.8%

DS_VT_ACE_OFG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct256
Distinct (%)0.1%
Missing85378
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean5629192.87
Minimum0
Maximum11111111
Zeros9085
Zeros (%)1.7%
Memory size4.2 MiB
2020-09-29T19:05:33.450136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile100
Q11000100
median1111111
Q311010001
95-th percentile11111100
Maximum11111111
Range11111111
Interquartile range (IQR)10009901

Descriptive statistics

Standard deviation5072617.868
Coefficient of variation (CV)0.9011270328
Kurtosis-1.963733013
Mean5629192.87
Median Absolute Deviation (MAD)1111111
Skewness0.0274366442
Sum2.604903372e+12
Variance2.573145204e+13
MonotocityNot monotonic
2020-09-29T19:05:33.682039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11111111174443.2%
 
090851.7%
 
1110111179781.5%
 
100000068221.2%
 
100000164431.2%
 
1111101161621.1%
 
1111011157041.0%
 
1101111156231.0%
 
154581.0%
 
110000151310.9%
 
Other values (246)38689970.6%
 
(Missing)8537815.6%
 
ValueCountFrequency (%) 
090851.7%
 
154581.0%
 
1038390.7%
 
1134430.6%
 
10039860.7%
 
ValueCountFrequency (%) 
11111111174443.2%
 
1111111017460.3%
 
1111110137080.7%
 
111111006930.1%
 
1111101161621.1%
 

DS_VT_ESC_OCE
Categorical

HIGH CARDINALITY
MISSING

Distinct460675
Distinct (%)99.7%
Missing85892
Missing (%)15.7%
Memory size4.2 MiB
...........................
 
743
CCCCCCCCCCCCCCCCCCCCCCCCCCC
 
137
AAAAAAAAAAAAAAAAAAAAAAAAAAA
 
126
DDDDDDDDDDDDDDDDDDDDDDDDDDD
 
90
BBBBBBBBBBBBBBBBBBBBBBBBBBB
 
63
Other values (460670)
461076 
ValueCountFrequency (%) 
...........................7430.1%
 
CCCCCCCCCCCCCCCCCCCCCCCCCCC137< 0.1%
 
AAAAAAAAAAAAAAAAAAAAAAAAAAA126< 0.1%
 
DDDDDDDDDDDDDDDDDDDDDDDDDDD90< 0.1%
 
BBBBBBBBBBBBBBBBBBBBBBBBBBB63< 0.1%
 
ABCDEDCBABCDEDCBABCDEDCBABC37< 0.1%
 
EEEEEEEEEEEEEEEEEEEEEEEEEEE31< 0.1%
 
DEABCDEABCDEABCDEABCDEABCDE17< 0.1%
 
AAAABBBBBBBBBBBBCCCCCCCCCCC11< 0.1%
 
***************************11< 0.1%
 
Other values (460665)46096984.1%
 
(Missing)8589215.7%
 
2020-09-29T19:05:35.793199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique460410 ?
Unique (%)99.6%

DS_VT_ACE_OCE
Categorical

HIGH CARDINALITY
MISSING

Distinct325046
Distinct (%)70.2%
Missing85378
Missing (%)15.6%
Memory size4.2 MiB
990900090000008000009090099
 
481
090000000990099009009009000
 
423
990990000000090088990090090
 
241
990990100100090188990090090
 
141
990990100100090188991090090
 
138
Other values (325041)
461325 
ValueCountFrequency (%) 
9909000900000080000090900994810.1%
 
0900000009900990090090090004230.1%
 
990990000000090088990090090241< 0.1%
 
990990100100090188990090090141< 0.1%
 
990990100100090188991090090138< 0.1%
 
900000900000000000000000900134< 0.1%
 
990990100000090088990090090108< 0.1%
 
990990100000090188990090090100< 0.1%
 
99099010000009018899109009092< 0.1%
 
09010000099009900900900900092< 0.1%
 
Other values (325036)46079984.1%
 
(Missing)8537815.6%
 
2020-09-29T19:05:37.297228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique271371 ?
Unique (%)58.6%

TP_PRES
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean503.064496
Minimum222
Maximum556
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:37.486196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum556
Range334
Interquartile range (IQR)0

Descriptive statistics

Standard deviation120.6957564
Coefficient of variation (CV)0.2399210386
Kurtosis1.602138166
Mean503.064496
Median Absolute Deviation (MAD)0
Skewness-1.897017675
Sum275743233
Variance14567.46561
MonotocityNot monotonic
2020-09-29T19:05:37.668150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55546224184.3%
 
2228522115.5%
 
4445240.1%
 
334138< 0.1%
 
5563< 0.1%
 
ValueCountFrequency (%) 
2228522115.5%
 
334138< 0.1%
 
4445240.1%
 
55546224184.3%
 
5563< 0.1%
 
ValueCountFrequency (%) 
5563< 0.1%
 
55546224184.3%
 
4445240.1%
 
334138< 0.1%
 
2228522115.5%
 

TP_PR_GER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean503.3592416
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:37.865203image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation121.3339407
Coefficient of variation (CV)0.2410484017
Kurtosis1.624042514
Mean503.3592416
Median Absolute Deviation (MAD)0
Skewness-1.845330141
Sum275904791
Variance14721.92516
MonotocityNot monotonic
2020-09-29T19:05:38.050179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55546191984.3%
 
2228522115.5%
 
8895240.1%
 
3334600.1%
 
5563< 0.1%
 
ValueCountFrequency (%) 
2228522115.5%
 
3334600.1%
 
55546191984.3%
 
5563< 0.1%
 
8895240.1%
 
ValueCountFrequency (%) 
8895240.1%
 
5563< 0.1%
 
55546191984.3%
 
3334600.1%
 
2228522115.5%
 

TP_PR_OB_FG
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean503.2187011
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:38.234918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation121.4025955
Coefficient of variation (CV)0.2412521537
Kurtosis1.60749476
Mean503.2187011
Median Absolute Deviation (MAD)0
Skewness-1.840526325
Sum275827757
Variance14738.59018
MonotocityNot monotonic
2020-09-29T19:05:38.419818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55546157284.2%
 
2228522115.5%
 
3338070.1%
 
8895240.1%
 
5563< 0.1%
 
ValueCountFrequency (%) 
2228522115.5%
 
3338070.1%
 
55546157284.2%
 
5563< 0.1%
 
8895240.1%
 
ValueCountFrequency (%) 
8895240.1%
 
5563< 0.1%
 
55546157284.2%
 
3338070.1%
 
2228522115.5%
 

TP_PR_DI_FG
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean489.7851429
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:38.620450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation127.0793768
Coefficient of variation (CV)0.2594594358
Kurtosis0.3565228185
Mean489.7851429
Median Absolute Deviation (MAD)0
Skewness-1.435931197
Sum268464461
Variance16149.16802
MonotocityNot monotonic
2020-09-29T19:05:38.821028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55542840478.2%
 
2228522115.5%
 
333339756.2%
 
8895240.1%
 
5563< 0.1%
 
ValueCountFrequency (%) 
2228522115.5%
 
333339756.2%
 
55542840478.2%
 
5563< 0.1%
 
8895240.1%
 
ValueCountFrequency (%) 
8895240.1%
 
5563< 0.1%
 
55542840478.2%
 
333339756.2%
 
2228522115.5%
 

TP_PR_OB_CE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean503.2490773
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:39.021510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation121.3877736
Coefficient of variation (CV)0.2412081394
Kurtosis1.611063977
Mean503.2490773
Median Absolute Deviation (MAD)0
Skewness-1.841563421
Sum275844407
Variance14734.99158
MonotocityNot monotonic
2020-09-29T19:05:39.209121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55546164784.2%
 
2228522115.5%
 
3337320.1%
 
8895240.1%
 
5563< 0.1%
 
ValueCountFrequency (%) 
2228522115.5%
 
3337320.1%
 
55546164784.2%
 
5563< 0.1%
 
8895240.1%
 
ValueCountFrequency (%) 
8895240.1%
 
5563< 0.1%
 
55546164784.2%
 
3337320.1%
 
2228522115.5%
 

TP_PR_DI_CE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean484.8589378
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:39.406684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation128.7477973
Coefficient of variation (CV)0.2655366071
Kurtosis0.02410735443
Mean484.8589378
Median Absolute Deviation (MAD)0
Skewness-1.308941177
Sum265764275
Variance16575.9953
MonotocityNot monotonic
2020-09-29T19:05:39.591543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55541624175.9%
 
2228522115.5%
 
333461388.4%
 
8895240.1%
 
5563< 0.1%
 
ValueCountFrequency (%) 
2228522115.5%
 
333461388.4%
 
55541624175.9%
 
5563< 0.1%
 
8895240.1%
 
ValueCountFrequency (%) 
8895240.1%
 
5563< 0.1%
 
55541624175.9%
 
333461388.4%
 
2228522115.5%
 

TP_SFG_D1
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean479.209997
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:39.791813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1336
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)219

Descriptive statistics

Standard deviation130.3420896
Coefficient of variation (CV)0.271993678
Kurtosis-0.2941630126
Mean479.209997
Median Absolute Deviation (MAD)0
Skewness-1.173868522
Sum262667938
Variance16989.06033
MonotocityNot monotonic
2020-09-29T19:05:40.114850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55540210673.4%
 
2228522115.5%
 
333454378.3%
 
336119612.2%
 
33528750.5%
 
8895240.1%
 
5563< 0.1%
 
ValueCountFrequency (%) 
2228522115.5%
 
333454378.3%
 
33528750.5%
 
336119612.2%
 
55540210673.4%
 
ValueCountFrequency (%) 
8895240.1%
 
5563< 0.1%
 
55540210673.4%
 
336119612.2%
 
33528750.5%
 

TP_SFG_D2
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean479.513631
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:40.319436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1336
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)219

Descriptive statistics

Standard deviation130.2802513
Coefficient of variation (CV)0.2716924878
Kurtosis-0.2791896121
Mean479.513631
Median Absolute Deviation (MAD)0
Skewness-1.180848602
Sum262834368
Variance16972.94388
MonotocityNot monotonic
2020-09-29T19:05:40.519988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55540291673.5%
 
2228522115.5%
 
333498049.1%
 
33689251.6%
 
3357340.1%
 
8895240.1%
 
5563< 0.1%
 
ValueCountFrequency (%) 
2228522115.5%
 
333498049.1%
 
3357340.1%
 
33689251.6%
 
55540291673.5%
 
ValueCountFrequency (%) 
8895240.1%
 
5563< 0.1%
 
55540291673.5%
 
33689251.6%
 
3357340.1%
 

TP_SCE_D1
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean464.065483
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:40.704462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)222

Descriptive statistics

Standard deviation133.4943034
Coefficient of variation (CV)0.2876626432
Kurtosis-0.9147823744
Mean464.065483
Median Absolute Deviation (MAD)0
Skewness-0.8524825595
Sum254366821
Variance17820.72905
MonotocityNot monotonic
2020-09-29T19:05:40.904994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55536465266.5%
 
2228522115.5%
 
3337916314.4%
 
336181763.3%
 
8895240.1%
 
3353880.1%
 
5563< 0.1%
 
ValueCountFrequency (%) 
2228522115.5%
 
3337916314.4%
 
3353880.1%
 
336181763.3%
 
55536465266.5%
 
ValueCountFrequency (%) 
8895240.1%
 
5563< 0.1%
 
55536465266.5%
 
336181763.3%
 
3353880.1%
 

TP_SCE_D2
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean453.3146187
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:41.099020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)222

Descriptive statistics

Standard deviation134.6933437
Coefficient of variation (CV)0.2971299362
Kurtosis-1.19983398
Mean453.3146187
Median Absolute Deviation (MAD)0
Skewness-0.6498704334
Sum248473982
Variance18142.29684
MonotocityNot monotonic
2020-09-29T19:05:41.283972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55533817261.7%
 
33311046220.2%
 
2228522115.5%
 
336135352.5%
 
8895240.1%
 
335210< 0.1%
 
5563< 0.1%
 
ValueCountFrequency (%) 
2228522115.5%
 
33311046220.2%
 
335210< 0.1%
 
336135352.5%
 
55533817261.7%
 
ValueCountFrequency (%) 
8895240.1%
 
5563< 0.1%
 
55533817261.7%
 
336135352.5%
 
335210< 0.1%
 

TP_SCE_D3
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean465.1048553
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:41.484406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)222

Descriptive statistics

Standard deviation133.3947071
Coefficient of variation (CV)0.2868056646
Kurtosis-0.8832601801
Mean465.1048553
Median Absolute Deviation (MAD)0
Skewness-0.8729937965
Sum254936529
Variance17794.14788
MonotocityNot monotonic
2020-09-29T19:05:41.684862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55536740167.0%
 
3339000616.4%
 
2228522115.5%
 
33647900.9%
 
8895240.1%
 
335182< 0.1%
 
5563< 0.1%
 
ValueCountFrequency (%) 
2228522115.5%
 
3339000616.4%
 
335182< 0.1%
 
33647900.9%
 
55536740167.0%
 
ValueCountFrequency (%) 
8895240.1%
 
5563< 0.1%
 
55536740167.0%
 
33647900.9%
 
335182< 0.1%
 

NT_GER
Categorical

HIGH CARDINALITY
MISSING

Distinct911
Distinct (%)0.2%
Missing85895
Missing (%)15.7%
Memory size4.2 MiB
37,5
 
1447
41,3
 
1419
39,4
 
1411
37,7
 
1387
33,9
 
1365
Other values (906)
455203 
ValueCountFrequency (%) 
37,514470.3%
 
41,314190.3%
 
39,414110.3%
 
37,713870.3%
 
33,913650.2%
 
35,613590.2%
 
34,413550.2%
 
43,113310.2%
 
35,813260.2%
 
28,713250.2%
 
Other values (901)44850781.8%
 
(Missing)8589515.7%
 
2020-09-29T19:05:41.938566image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)< 0.1%

NT_FG
Categorical

HIGH CARDINALITY
MISSING

Distinct910
Distinct (%)0.2%
Missing85895
Missing (%)15.7%
Memory size4.2 MiB
22,5
 
9358
30
 
8485
15
 
8072
37,5
 
6262
45
 
4389
Other values (905)
425666 
ValueCountFrequency (%) 
22,593581.7%
 
3084851.5%
 
1580721.5%
 
37,562621.1%
 
4543890.8%
 
7,543300.8%
 
52,526350.5%
 
018120.3%
 
47,213620.2%
 
6013400.2%
 
Other values (900)41418775.6%
 
(Missing)8589515.7%
 
2020-09-29T19:05:42.207936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique9 ?
Unique (%)< 0.1%

NT_OBJ_FG
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing85895
Missing (%)15.7%
Memory size4.2 MiB
50
87110 
37,5
85747 
62,5
74161 
25
64043 
75
56224 
Other values (4)
94947 
ValueCountFrequency (%) 
508711015.9%
 
37,58574715.6%
 
62,57416113.5%
 
256404311.7%
 
755622410.3%
 
87,5375286.8%
 
12,5314075.7%
 
100174443.2%
 
085681.6%
 
(Missing)8589515.7%
 
2020-09-29T19:05:42.439454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NT_DIS_FG
Categorical

HIGH CARDINALITY
MISSING

Distinct197
Distinct (%)< 0.1%
Missing85895
Missing (%)15.7%
Memory size4.2 MiB
0
42067 
43
 
6302
41
 
6253
45
 
6240
47
 
6194
Other values (192)
395176 
ValueCountFrequency (%) 
0420677.7%
 
4363021.1%
 
4162531.1%
 
4562401.1%
 
4761941.1%
 
4460131.1%
 
4959891.1%
 
3959631.1%
 
4258421.1%
 
4658131.1%
 
Other values (187)36555666.7%
 
(Missing)8589515.7%
 
2020-09-29T19:05:42.709044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

NT_FG_D1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct101
Distinct (%)< 0.1%
Missing85895
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean39.19829436
Minimum0
Maximum100
Zeros60793
Zeros (%)11.1%
Memory size4.2 MiB
2020-09-29T19:05:42.937821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127
median42
Q355
95-th percentile73
Maximum100
Range100
Interquartile range (IQR)28

Descriptive statistics

Standard deviation21.94842609
Coefficient of variation (CV)0.559933192
Kurtosis-0.5166380727
Mean39.19829436
Median Absolute Deviation (MAD)14
Skewness-0.2494117906
Sum18118706
Variance481.7334076
MonotocityNot monotonic
2020-09-29T19:05:43.172021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06079311.1%
 
47160342.9%
 
39140322.6%
 
45125192.3%
 
37117542.1%
 
55111902.0%
 
31103261.9%
 
2998741.8%
 
4490831.7%
 
4389061.6%
 
Other values (91)29772154.3%
 
(Missing)8589515.7%
 
ValueCountFrequency (%) 
06079311.1%
 
115< 0.1%
 
223< 0.1%
 
3112< 0.1%
 
4125< 0.1%
 
ValueCountFrequency (%) 
1001< 0.1%
 
9914< 0.1%
 
98165< 0.1%
 
97127< 0.1%
 
96217< 0.1%
 

NT_FG_D1_PT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing85892
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean56.68550629
Minimum0
Maximum100
Zeros58508
Zeros (%)10.7%
Memory size4.2 MiB
2020-09-29T19:05:43.388245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median65
Q375
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)25

Descriptive statistics

Standard deviation24.73878741
Coefficient of variation (CV)0.4364217421
Kurtosis0.7830034327
Mean56.68550629
Median Absolute Deviation (MAD)10
Skewness-1.324075562
Sum26202025
Variance612.0076023
MonotocityNot monotonic
2020-09-29T19:05:43.713923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
758554615.6%
 
657047712.9%
 
05850810.7%
 
60450258.2%
 
55400687.3%
 
70397957.3%
 
50366246.7%
 
80310895.7%
 
85125202.3%
 
40120802.2%
 
Other values (11)305035.6%
 
(Missing)8589215.7%
 
ValueCountFrequency (%) 
05850810.7%
 
540< 0.1%
 
1052< 0.1%
 
152800.1%
 
204180.1%
 
ValueCountFrequency (%) 
10012< 0.1%
 
959960.2%
 
9090751.7%
 
85125202.3%
 
80310895.7%
 

NT_FG_D1_CT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct19
Distinct (%)< 0.1%
Missing85892
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean34.90114336
Minimum0
Maximum100
Zeros74507
Zeros (%)13.6%
Memory size4.2 MiB
2020-09-29T19:05:43.923819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median35
Q350
95-th percentile75
Maximum100
Range100
Interquartile range (IQR)30

Descriptive statistics

Standard deviation23.03717921
Coefficient of variation (CV)0.6600694704
Kurtosis-0.6547836039
Mean34.90114336
Median Absolute Deviation (MAD)15
Skewness0.1263117797
Sum16132530
Variance530.711626
MonotocityNot monotonic
2020-09-29T19:05:44.124144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
07450713.6%
 
406279211.5%
 
306100211.1%
 
205582110.2%
 
50391787.1%
 
60270274.9%
 
10239574.4%
 
55239264.4%
 
45206193.8%
 
65186693.4%
 
Other values (9)5473710.0%
 
(Missing)8589215.7%
 
ValueCountFrequency (%) 
07450713.6%
 
10239574.4%
 
159510.2%
 
205582110.2%
 
2543340.8%
 
ValueCountFrequency (%) 
10012870.2%
 
9038740.7%
 
8537840.7%
 
8047040.9%
 
75135632.5%
 

NT_FG_D2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct100
Distinct (%)< 0.1%
Missing85895
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean37.77680472
Minimum0
Maximum99
Zeros59849
Zeros (%)10.9%
Memory size4.2 MiB
2020-09-29T19:05:44.340308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126
median39
Q352
95-th percentile71
Maximum99
Range99
Interquartile range (IQR)26

Descriptive statistics

Standard deviation21.21184513
Coefficient of variation (CV)0.561504481
Kurtosis-0.4585027219
Mean37.77680472
Median Absolute Deviation (MAD)13
Skewness-0.1853626099
Sum17461648
Variance449.9423738
MonotocityNot monotonic
2020-09-29T19:05:44.593665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05984910.9%
 
39175133.2%
 
51149162.7%
 
43147962.7%
 
31137962.5%
 
35125232.3%
 
41111002.0%
 
27103971.9%
 
49101931.9%
 
47100761.8%
 
Other values (90)28707352.4%
 
(Missing)8589515.7%
 
ValueCountFrequency (%) 
05984910.9%
 
18< 0.1%
 
210< 0.1%
 
354< 0.1%
 
463< 0.1%
 
ValueCountFrequency (%) 
997< 0.1%
 
98117< 0.1%
 
9786< 0.1%
 
96208< 0.1%
 
95256< 0.1%
 

NT_FG_D2_PT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing85892
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean55.72501001
Minimum0
Maximum100
Zeros57993
Zeros (%)10.6%
Memory size4.2 MiB
2020-09-29T19:05:44.794151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median65
Q375
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)25

Descriptive statistics

Standard deviation24.78411859
Coefficient of variation (CV)0.4447575441
Kurtosis0.5414066343
Mean55.72501001
Median Absolute Deviation (MAD)10
Skewness-1.212979149
Sum25758050
Variance614.2525345
MonotocityNot monotonic
2020-09-29T19:05:44.994794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
758751416.0%
 
656737612.3%
 
05799310.6%
 
555713210.4%
 
50353166.4%
 
70313175.7%
 
60303525.5%
 
80300915.5%
 
40128712.3%
 
30114542.1%
 
Other values (11)408197.4%
 
(Missing)8589215.7%
 
ValueCountFrequency (%) 
05799310.6%
 
520< 0.1%
 
1037< 0.1%
 
15232< 0.1%
 
20267< 0.1%
 
ValueCountFrequency (%) 
1001< 0.1%
 
957030.1%
 
90102481.9%
 
85104151.9%
 
80300915.5%
 

NT_FG_D2_CT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct18
Distinct (%)< 0.1%
Missing85892
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean33.34809134
Minimum0
Maximum100
Zeros72072
Zeros (%)13.1%
Memory size4.2 MiB
2020-09-29T19:05:45.195402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median35
Q350
95-th percentile70
Maximum100
Range100
Interquartile range (IQR)30

Descriptive statistics

Standard deviation22.17336767
Coefficient of variation (CV)0.6649066493
Kurtosis-0.5349006272
Mean33.34809134
Median Absolute Deviation (MAD)15
Skewness0.2069348814
Sum15414655
Variance491.6582339
MonotocityNot monotonic
2020-09-29T19:05:45.395983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
07207213.1%
 
355519610.1%
 
45517239.4%
 
20512679.4%
 
30435397.9%
 
60358136.5%
 
10307975.6%
 
25253434.6%
 
55244104.5%
 
50200363.7%
 
Other values (8)520399.5%
 
(Missing)8589215.7%
 
ValueCountFrequency (%) 
07207213.1%
 
10307975.6%
 
15135< 0.1%
 
20512679.4%
 
25253434.6%
 
ValueCountFrequency (%) 
10010150.2%
 
907730.1%
 
8598401.8%
 
7562021.1%
 
70176243.2%
 

NT_CE
Categorical

HIGH CARDINALITY
MISSING

Distinct916
Distinct (%)0.2%
Missing85895
Missing (%)15.7%
Memory size4.2 MiB
42,5
 
6402
28,3
 
4858
31,9
 
4708
26,6
 
4653
33,1
 
4454
Other values (911)
437157 
ValueCountFrequency (%) 
42,564021.2%
 
28,348580.9%
 
31,947080.9%
 
26,646530.8%
 
33,144540.8%
 
21,340830.7%
 
37,737190.7%
 
23,636600.7%
 
18,936300.7%
 
4528830.5%
 
Other values (906)41918276.5%
 
(Missing)8589515.7%
 
2020-09-29T19:05:45.659091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique22 ?
Unique (%)< 0.1%

NT_OBJ_CE
Categorical

HIGH CARDINALITY
MISSING

Distinct176
Distinct (%)< 0.1%
Missing85895
Missing (%)15.7%
Memory size4.2 MiB
50
 
27603
33,3
 
18229
36,8
 
15452
42,1
 
15023
31,6
 
15004
Other values (171)
370921 
ValueCountFrequency (%) 
50276035.0%
 
33,3182293.3%
 
36,8154522.8%
 
42,1150232.7%
 
31,6150042.7%
 
44,4145892.7%
 
38,9135812.5%
 
47,4131052.4%
 
26,3129232.4%
 
37,5124302.3%
 
Other values (166)30429355.5%
 
(Missing)8589515.7%
 
2020-09-29T19:05:45.913011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NT_DIS_CE
Categorical

HIGH CARDINALITY
MISSING

Distinct61
Distinct (%)< 0.1%
Missing85895
Missing (%)15.7%
Memory size4.2 MiB
0
79213 
16,7
 
25484
23,3
 
16905
26,7
 
16852
33,3
 
15439
Other values (56)
308339 
ValueCountFrequency (%) 
07921314.5%
 
16,7254844.6%
 
23,3169053.1%
 
26,7168523.1%
 
33,3154392.8%
 
30153672.8%
 
20151712.8%
 
10142222.6%
 
13,3138932.5%
 
6,7135682.5%
 
Other values (51)23611843.1%
 
(Missing)8589515.7%
 
2020-09-29T19:05:46.178069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NT_CE_D1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing85895
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean27.77806383
Minimum0
Maximum100
Zeros156644
Zeros (%)28.6%
Memory size4.2 MiB
2020-09-29T19:05:46.398803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25
Q350
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation27.02545672
Coefficient of variation (CV)0.9729064232
Kurtosis-0.3368937549
Mean27.77806383
Median Absolute Deviation (MAD)25
Skewness0.7011017154
Sum12839910
Variance730.3753112
MonotocityNot monotonic
2020-09-29T19:05:46.625388image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
015664428.6%
 
30433527.9%
 
40418607.6%
 
50333706.1%
 
20295675.4%
 
10245114.5%
 
60223174.1%
 
70134022.4%
 
45124172.3%
 
35123362.3%
 
Other values (11)7245613.2%
 
(Missing)8589515.7%
 
ValueCountFrequency (%) 
015664428.6%
 
531840.6%
 
10245114.5%
 
15117812.1%
 
20295675.4%
 
ValueCountFrequency (%) 
100100361.8%
 
9512370.2%
 
9036360.7%
 
8524930.5%
 
8092631.7%
 

NT_CE_D2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing85895
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean22.93686936
Minimum0
Maximum100
Zeros213984
Zeros (%)39.0%
Memory size4.2 MiB
2020-09-29T19:05:46.946295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q340
95-th percentile75
Maximum100
Range100
Interquartile range (IQR)40

Descriptive statistics

Standard deviation27.10614079
Coefficient of variation (CV)1.181771599
Kurtosis-0.1868107673
Mean22.93686936
Median Absolute Deviation (MAD)15
Skewness0.9376695663
Sum10602155
Variance734.7428684
MonotocityNot monotonic
2020-09-29T19:05:47.153662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
021398439.0%
 
20415607.6%
 
40327686.0%
 
60268084.9%
 
50228574.2%
 
30195403.6%
 
25174623.2%
 
70118392.2%
 
10115512.1%
 
80110282.0%
 
Other values (11)528359.6%
 
(Missing)8589515.7%
 
ValueCountFrequency (%) 
021398439.0%
 
547480.9%
 
10115512.1%
 
1560141.1%
 
20415607.6%
 
ValueCountFrequency (%) 
10068991.3%
 
953< 0.1%
 
9038150.7%
 
8512880.2%
 
80110282.0%
 

NT_CE_D3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing85895
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean27.12361974
Minimum0
Maximum100
Zeros160180
Zeros (%)29.2%
Memory size4.2 MiB
2020-09-29T19:05:47.362765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25
Q350
95-th percentile75
Maximum100
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation25.67815937
Coefficient of variation (CV)0.9467084266
Kurtosis-0.5920331356
Mean27.12361974
Median Absolute Deviation (MAD)25
Skewness0.5665466508
Sum12537405
Variance659.3678685
MonotocityNot monotonic
2020-09-29T19:05:47.579005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
016018029.2%
 
506331511.6%
 
30371486.8%
 
40342446.2%
 
20289315.3%
 
25280245.1%
 
60182893.3%
 
70129292.4%
 
10126612.3%
 
75125312.3%
 
Other values (11)539809.8%
 
(Missing)8589515.7%
 
ValueCountFrequency (%) 
016018029.2%
 
550470.9%
 
10126612.3%
 
15105201.9%
 
20289315.3%
 
ValueCountFrequency (%) 
10043010.8%
 
9518< 0.1%
 
9038620.7%
 
8524230.4%
 
8034850.6%
 

CO_RS_I1
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing85745
Missing (%)15.6%
Memory size4.2 MiB
C
245504 
D
118797 
B
38252 
.
28119 
E
 
22769
Other values (2)
 
8941
ValueCountFrequency (%) 
C24550444.8%
 
D11879721.7%
 
B382527.0%
 
.281195.1%
 
E227694.2%
 
A87161.6%
 
*225< 0.1%
 
(Missing)8574515.6%
 
2020-09-29T19:05:47.817407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I2
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing85745
Missing (%)15.6%
Memory size4.2 MiB
C
224611 
D
157843 
.
28391 
E
26527 
B
 
20466
Other values (2)
 
4544
ValueCountFrequency (%) 
C22461141.0%
 
D15784328.8%
 
.283915.2%
 
E265274.8%
 
B204663.7%
 
A43180.8%
 
*226< 0.1%
 
(Missing)8574515.6%
 
2020-09-29T19:05:48.017873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I3
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing85745
Missing (%)15.6%
Memory size4.2 MiB
C
221898 
B
101122 
A
75678 
.
28538 
D
26790 
Other values (2)
 
8356
ValueCountFrequency (%) 
C22189840.5%
 
B10112218.4%
 
A7567813.8%
 
.285385.2%
 
D267904.9%
 
E78821.4%
 
*4740.1%
 
(Missing)8574515.6%
 
2020-09-29T19:05:48.224087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I4
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing85745
Missing (%)15.6%
Memory size4.2 MiB
B
221039 
A
95459 
C
63804 
D
46554 
.
28816 
Other values (2)
 
6710
ValueCountFrequency (%) 
B22103940.3%
 
A9545917.4%
 
C6380411.6%
 
D465548.5%
 
.288165.3%
 
E64751.2%
 
*235< 0.1%
 
(Missing)8574515.6%
 
2020-09-29T19:05:48.449830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I5
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing85745
Missing (%)15.6%
Memory size4.2 MiB
B
228729 
A
88152 
C
68350 
D
42272 
.
28705 
Other values (2)
 
6174
ValueCountFrequency (%) 
B22872941.7%
 
A8815216.1%
 
C6835012.5%
 
D422727.7%
 
.287055.2%
 
E58371.1%
 
*3370.1%
 
(Missing)8574515.6%
 
2020-09-29T19:05:48.650459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I6
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing85745
Missing (%)15.6%
Memory size4.2 MiB
C
199048 
B
130590 
D
71071 
.
28973 
A
25600 
Other values (2)
 
7100
ValueCountFrequency (%) 
C19904836.3%
 
B13059023.8%
 
D7107113.0%
 
.289735.3%
 
A256004.7%
 
E65871.2%
 
*5130.1%
 
(Missing)8574515.6%
 
2020-09-29T19:05:48.882212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I7
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing85745
Missing (%)15.6%
Memory size4.2 MiB
B
205376 
E
77251 
A
63196 
D
61395 
.
29975 
Other values (2)
25189 
ValueCountFrequency (%) 
B20537637.5%
 
E7725114.1%
 
A6319611.5%
 
D6139511.2%
 
.299755.5%
 
C241654.4%
 
*10240.2%
 
(Missing)8574515.6%
 
2020-09-29T19:05:49.105035image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I8
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing85745
Missing (%)15.6%
Memory size4.2 MiB
D
251766 
C
70136 
B
48876 
E
41263 
.
31072 
Other values (2)
 
19269
ValueCountFrequency (%) 
D25176645.9%
 
C7013612.8%
 
B488768.9%
 
E412637.5%
 
.310725.7%
 
A186783.4%
 
*5910.1%
 
(Missing)8574515.6%
 
2020-09-29T19:05:49.336673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I9
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing85745
Missing (%)15.6%
Memory size4.2 MiB
D
203077 
C
127858 
B
57413 
E
35932 
.
32778 
Other values (2)
 
5324
ValueCountFrequency (%) 
D20307737.0%
 
C12785823.3%
 
B5741310.5%
 
E359326.6%
 
.327786.0%
 
A48380.9%
 
*4860.1%
 
(Missing)8574515.6%
 
2020-09-29T19:05:49.552910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I01
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing62619
Missing (%)11.4%
Memory size4.2 MiB
A
343819 
B
107293 
E
 
16893
C
 
16006
D
 
1497
ValueCountFrequency (%) 
A34381962.7%
 
B10729319.6%
 
E168933.1%
 
C160062.9%
 
D14970.3%
 
(Missing)6261911.4%
 
2020-09-29T19:05:49.786903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I02
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
261439 
D
157961 
B
44068 
C
 
11503
F
 
9059
ValueCountFrequency (%) 
A26143947.7%
 
D15796128.8%
 
B440688.0%
 
C115032.1%
 
F90591.7%
 
E14790.3%
 
(Missing)6261811.4%
 
2020-09-29T19:05:50.006435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I03
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
481074 
B
 
3406
C
 
1029
ValueCountFrequency (%) 
A48107487.8%
 
B34060.6%
 
C10290.2%
 
(Missing)6261811.4%
 
2020-09-29T19:05:50.222541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I04
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
D
150085 
B
131096 
C
74507 
E
66575 
A
39995 
ValueCountFrequency (%) 
D15008527.4%
 
B13109623.9%
 
C7450713.6%
 
E6657512.1%
 
A399957.3%
 
F232514.2%
 
(Missing)6261811.4%
 
2020-09-29T19:05:50.453950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I05
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
D
160920 
B
111494 
C
75271 
E
69706 
F
38458 
ValueCountFrequency (%) 
D16092029.4%
 
B11149420.3%
 
C7527113.7%
 
E6970612.7%
 
F384587.0%
 
A296605.4%
 
(Missing)6261811.4%
 
2020-09-29T19:05:50.670186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I06
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
B
265862 
C
145562 
A
51280 
D
 
19538
F
 
2566
ValueCountFrequency (%) 
B26586248.5%
 
C14556226.6%
 
A512809.4%
 
D195383.6%
 
F25660.5%
 
E7010.1%
 
(Missing)6261811.4%
 
2020-09-29T19:05:50.897984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I07
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
D
117356 
C
115905 
B
83534 
E
64896 
A
60440 
Other values (3)
43378 
ValueCountFrequency (%) 
D11735621.4%
 
C11590521.1%
 
B8353415.2%
 
E6489611.8%
 
A6044011.0%
 
F268454.9%
 
G96701.8%
 
H68631.3%
 
(Missing)6261811.4%
 
2020-09-29T19:05:51.109165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I08
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
B
133511 
C
105378 
A
94125 
E
54970 
D
54436 
Other values (2)
43089 
ValueCountFrequency (%) 
B13351124.4%
 
C10537819.2%
 
A9412517.2%
 
E5497010.0%
 
D544369.9%
 
F349966.4%
 
G80931.5%
 
(Missing)6261811.4%
 
2020-09-29T19:05:51.456860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I09
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
C
133967 
B
106041 
E
100929 
D
60712 
F
46702 
ValueCountFrequency (%) 
C13396724.4%
 
B10604119.3%
 
E10092918.4%
 
D6071211.1%
 
F467028.5%
 
A371586.8%
 
(Missing)6261811.4%
 
2020-09-29T19:05:51.688544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I10
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
E
208019 
A
167915 
D
54180 
B
28634 
C
26761 
ValueCountFrequency (%) 
E20801938.0%
 
A16791530.6%
 
D541809.9%
 
B286345.2%
 
C267614.9%
 
(Missing)6261811.4%
 
2020-09-29T19:05:51.916100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I11
Categorical

MISSING

Distinct11
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
B
176061 
E
89113 
A
76035 
H
45518 
C
42369 
Other values (6)
56413 
ValueCountFrequency (%) 
B17606132.1%
 
E8911316.3%
 
A7603513.9%
 
H455188.3%
 
C423697.7%
 
I160002.9%
 
G131162.4%
 
D106051.9%
 
J85181.6%
 
F54921.0%
 
(Missing)6261811.4%
 
2020-09-29T19:05:52.142656image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I12
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
467694 
F
 
7224
E
 
4002
C
 
3467
D
 
1634
ValueCountFrequency (%) 
A46769485.3%
 
F72241.3%
 
E40020.7%
 
C34670.6%
 
D16340.3%
 
B14880.3%
 
(Missing)6261811.4%
 
2020-09-29T19:05:52.343184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I13
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
428875 
F
 
32030
B
 
10360
D
 
6839
C
 
6379
ValueCountFrequency (%) 
A42887578.2%
 
F320305.8%
 
B103601.9%
 
D68391.2%
 
C63791.2%
 
E10260.2%
 
(Missing)6261811.4%
 
2020-09-29T19:05:52.543540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I14
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
472925 
F
 
6549
E
 
5004
B
 
600
C
 
238
ValueCountFrequency (%) 
A47292586.3%
 
F65491.2%
 
E50040.9%
 
B6000.1%
 
C238< 0.1%
 
D193< 0.1%
 
(Missing)6261811.4%
 
2020-09-29T19:05:52.744068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I15
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
380154 
C
 
35502
D
 
32602
E
 
21877
F
 
8547
ValueCountFrequency (%) 
A38015469.4%
 
C355026.5%
 
D326025.9%
 
E218774.0%
 
F85471.6%
 
B68271.2%
 
(Missing)6261811.4%
 
2020-09-29T19:05:52.962657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I16
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean33.12336126
Minimum11
Maximum99
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:53.160637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q128
median33
Q341
95-th percentile52
Maximum99
Range88
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.4795781
Coefficient of variation (CV)0.3163802736
Kurtosis5.041989262
Mean33.12336126
Median Absolute Deviation (MAD)6
Skewness0.7439197439
Sum16081690
Variance109.8215571
MonotocityNot monotonic
2020-09-29T19:05:53.376845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
3510807319.7%
 
31510559.3%
 
33447858.2%
 
43336126.1%
 
41315765.8%
 
29242864.4%
 
42207063.8%
 
23182833.3%
 
26176003.2%
 
52149752.7%
 
Other values (18)12055822.0%
 
(Missing)6261811.4%
 
ValueCountFrequency (%) 
1141800.8%
 
12139962.6%
 
1381401.5%
 
1415090.3%
 
15124102.3%
 
ValueCountFrequency (%) 
9918080.3%
 
53105801.9%
 
52149752.7%
 
5178091.4%
 
5050870.9%
 

QE_I17
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
325554 
B
114582 
D
 
24111
E
 
19358
F
 
1402
ValueCountFrequency (%) 
A32555459.4%
 
B11458220.9%
 
D241114.4%
 
E193583.5%
 
F14020.3%
 
C5020.1%
 
(Missing)6261811.4%
 
2020-09-29T19:05:53.615418image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I18
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
403795 
B
 
39022
D
 
28972
C
 
8665
E
 
5055
ValueCountFrequency (%) 
A40379573.7%
 
B390227.1%
 
D289725.3%
 
C86651.6%
 
E50550.9%
 
(Missing)6261811.4%
 
2020-09-29T19:05:53.847342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I19
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
B
277569 
A
106312 
C
45122 
F
 
26554
G
 
19289
Other values (2)
 
10663
ValueCountFrequency (%) 
B27756950.6%
 
A10631219.4%
 
C451228.2%
 
F265544.8%
 
G192893.5%
 
D77881.4%
 
E28750.5%
 
(Missing)6261811.4%
 
2020-09-29T19:05:54.076881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I20
Categorical

MISSING

Distinct11
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
C
168985 
A
154153 
G
44797 
K
37173 
B
32156 
Other values (6)
48245 
ValueCountFrequency (%) 
C16898530.8%
 
A15415328.1%
 
G447978.2%
 
K371736.8%
 
B321565.9%
 
H171833.1%
 
E114702.1%
 
J76341.4%
 
D72481.3%
 
F25530.5%
 
(Missing)6261811.4%
 
2020-09-29T19:05:54.310659image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I21
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
326682 
B
158827 
ValueCountFrequency (%) 
A32668259.6%
 
B15882729.0%
 
(Missing)6261811.4%
 
2020-09-29T19:05:54.517733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I22
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
B
175164 
C
143904 
A
71108 
E
53141 
D
42192 
ValueCountFrequency (%) 
B17516432.0%
 
C14390426.3%
 
A7110813.0%
 
E531419.7%
 
D421927.7%
 
(Missing)6261811.4%
 
2020-09-29T19:05:54.749262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I23
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
B
228068 
C
132818 
D
46075 
A
42051 
E
36497 
ValueCountFrequency (%) 
B22806841.6%
 
C13281824.2%
 
D460758.4%
 
A420517.7%
 
E364976.7%
 
(Missing)6261811.4%
 
2020-09-29T19:05:54.980995image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I24
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
E
347722 
A
84210 
D
 
32178
C
 
16912
B
 
4487
ValueCountFrequency (%) 
E34772263.4%
 
A8421015.4%
 
D321785.9%
 
C169123.1%
 
B44870.8%
 
(Missing)6261811.4%
 
2020-09-29T19:05:55.196763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I25
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing62618
Missing (%)11.4%
Memory size4.2 MiB
A
152334 
E
122432 
C
84547 
H
76052 
B
32200 
Other values (3)
17944 
ValueCountFrequency (%) 
A15233427.8%
 
E12243222.3%
 
C8454715.4%
 
H7605213.9%
 
B322005.9%
 
F83401.5%
 
D65171.2%
 
G30870.6%
 
(Missing)6261811.4%
 
2020-09-29T19:05:55.435039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I26
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing310878
Missing (%)56.7%
Memory size4.2 MiB
C
85612 
B
54149 
A
50449 
E
36088 
D
10951 
ValueCountFrequency (%) 
C8561215.6%
 
B541499.9%
 
A504499.2%
 
E360886.6%
 
D109512.0%
 
(Missing)31087856.7%
 
2020-09-29T19:05:55.665817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I27
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing66946
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean5.253742355
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:55.986630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.147867865
Coefficient of variation (CV)0.218485755
Kurtosis4.089456483
Mean5.253742355
Median Absolute Deviation (MAD)0
Skewness-1.990276882
Sum2528001
Variance1.317600635
MonotocityNot monotonic
2020-09-29T19:05:56.184225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
627676450.5%
 
511814721.6%
 
4513989.4%
 
3161983.0%
 
1148522.7%
 
238220.7%
 
(Missing)6694612.2%
 
ValueCountFrequency (%) 
1148522.7%
 
238220.7%
 
3161983.0%
 
4513989.4%
 
511814721.6%
 
ValueCountFrequency (%) 
627676450.5%
 
511814721.6%
 
4513989.4%
 
3161983.0%
 
238220.7%
 

QE_I28
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing78634
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean5.076529363
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:56.371785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.288268998
Coefficient of variation (CV)0.253769634
Kurtosis2.173900947
Mean5.076529363
Median Absolute Deviation (MAD)0
Skewness-1.625330493
Sum2383395
Variance1.659637012
MonotocityNot monotonic
2020-09-29T19:05:56.556737image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
624474544.7%
 
511488821.0%
 
45750410.5%
 
3243914.4%
 
1186343.4%
 
293311.7%
 
(Missing)7863414.3%
 
ValueCountFrequency (%) 
1186343.4%
 
293311.7%
 
3243914.4%
 
45750410.5%
 
511488821.0%
 
ValueCountFrequency (%) 
624474544.7%
 
511488821.0%
 
45750410.5%
 
3243914.4%
 
293311.7%
 

QE_I29
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing66947
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean4.996847334
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:56.741771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.309045361
Coefficient of variation (CV)0.2619742557
Kurtosis1.617497494
Mean4.996847334
Median Absolute Deviation (MAD)1
Skewness-1.463308673
Sum2404383
Variance1.713599757
MonotocityNot monotonic
2020-09-29T19:05:56.926635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
623442942.8%
 
511967021.8%
 
46746512.3%
 
3293425.4%
 
1189753.5%
 
2112992.1%
 
(Missing)6694712.2%
 
ValueCountFrequency (%) 
1189753.5%
 
2112992.1%
 
3293425.4%
 
46746512.3%
 
511967021.8%
 
ValueCountFrequency (%) 
623442942.8%
 
511967021.8%
 
46746512.3%
 
3293425.4%
 
2112992.1%
 

QE_I30
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing67953
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean4.921724208
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:57.105081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.375365614
Coefficient of variation (CV)0.2794479242
Kurtosis1.102760594
Mean4.921724208
Median Absolute Deviation (MAD)1
Skewness-1.348432722
Sum2363284
Variance1.891630571
MonotocityNot monotonic
2020-09-29T19:05:57.301583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
622887341.8%
 
511264320.6%
 
46905612.6%
 
3333636.1%
 
1219604.0%
 
2142792.6%
 
(Missing)6795312.4%
 
ValueCountFrequency (%) 
1219604.0%
 
2142792.6%
 
3333636.1%
 
46905612.6%
 
511264320.6%
 
ValueCountFrequency (%) 
622887341.8%
 
511264320.6%
 
46905612.6%
 
3333636.1%
 
2142792.6%
 

QE_I31
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing66799
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean5.30081566
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:57.474165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.17939055
Coefficient of variation (CV)0.2224922777
Kurtosis4.426993255
Mean5.30081566
Median Absolute Deviation (MAD)0
Skewness-2.135564729
Sum2551431
Variance1.390962069
MonotocityNot monotonic
2020-09-29T19:05:57.674698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
629820854.4%
 
510537019.2%
 
4406147.4%
 
1165213.0%
 
3151262.8%
 
254891.0%
 
(Missing)6679912.2%
 
ValueCountFrequency (%) 
1165213.0%
 
254891.0%
 
3151262.8%
 
4406147.4%
 
510537019.2%
 
ValueCountFrequency (%) 
629820854.4%
 
510537019.2%
 
4406147.4%
 
3151262.8%
 
254891.0%
 

QE_I32
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing71950
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean5.145630721
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:57.859532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.308745339
Coefficient of variation (CV)0.2543410925
Kurtosis2.499481124
Mean5.145630721
Median Absolute Deviation (MAD)0
Skewness-1.759487978
Sum2450231
Variance1.712814363
MonotocityNot monotonic
2020-09-29T19:05:58.044579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
627403450.0%
 
510002318.2%
 
4499439.1%
 
3223164.1%
 
1205303.7%
 
293311.7%
 
(Missing)7195013.1%
 
ValueCountFrequency (%) 
1205303.7%
 
293311.7%
 
3223164.1%
 
4499439.1%
 
510002318.2%
 
ValueCountFrequency (%) 
627403450.0%
 
510002318.2%
 
4499439.1%
 
3223164.1%
 
293311.7%
 

QE_I33
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing66072
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean5.289261599
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:58.229398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.166768287
Coefficient of variation (CV)0.2205919041
Kurtosis4.436003643
Mean5.289261599
Median Absolute Deviation (MAD)0
Skewness-2.114483402
Sum2549715
Variance1.361348236
MonotocityNot monotonic
2020-09-29T19:05:58.423372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
629121353.1%
 
511249520.5%
 
4422387.7%
 
1160532.9%
 
3148452.7%
 
252111.0%
 
(Missing)6607212.1%
 
ValueCountFrequency (%) 
1160532.9%
 
252111.0%
 
3148452.7%
 
4422387.7%
 
511249520.5%
 
ValueCountFrequency (%) 
629121353.1%
 
511249520.5%
 
4422387.7%
 
3148452.7%
 
252111.0%
 

QE_I34
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing67431
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean5.258674921
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:58.592733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.18917907
Coefficient of variation (CV)0.2261366386
Kurtosis3.981900063
Mean5.258674921
Median Absolute Deviation (MAD)0
Skewness-2.02800879
Sum2527824
Variance1.414146861
MonotocityNot monotonic
2020-09-29T19:05:58.799848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
628539252.1%
 
511165620.4%
 
4450488.2%
 
1165493.0%
 
3163493.0%
 
257021.0%
 
(Missing)6743112.3%
 
ValueCountFrequency (%) 
1165493.0%
 
257021.0%
 
3163493.0%
 
4450488.2%
 
511165620.4%
 
ValueCountFrequency (%) 
628539252.1%
 
511165620.4%
 
4450488.2%
 
3163493.0%
 
257021.0%
 

QE_I35
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing66894
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean5.187890274
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:58.962147image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.212352532
Coefficient of variation (CV)0.2336889309
Kurtosis3.273515046
Mean5.187890274
Median Absolute Deviation (MAD)0
Skewness-1.859192768
Sum2496584
Variance1.469798661
MonotocityNot monotonic
2020-09-29T19:05:59.162749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
626766948.8%
 
511879621.7%
 
4525969.6%
 
3187623.4%
 
1169003.1%
 
265101.2%
 
(Missing)6689412.2%
 
ValueCountFrequency (%) 
1169003.1%
 
265101.2%
 
3187623.4%
 
4525969.6%
 
511879621.7%
 
ValueCountFrequency (%) 
626766948.8%
 
511879621.7%
 
4525969.6%
 
3187623.4%
 
265101.2%
 

QE_I36
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing66624
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean5.195047591
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:59.346467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.182579606
Coefficient of variation (CV)0.2276359524
Kurtosis3.556257189
Mean5.195047591
Median Absolute Deviation (MAD)0
Skewness-1.889122121
Sum2501431
Variance1.398494524
MonotocityNot monotonic
2020-09-29T19:05:59.531982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
626251747.9%
 
512693723.2%
 
4531499.7%
 
3173333.2%
 
1160852.9%
 
254821.0%
 
(Missing)6662412.2%
 
ValueCountFrequency (%) 
1160852.9%
 
254821.0%
 
3173333.2%
 
4531499.7%
 
512693723.2%
 
ValueCountFrequency (%) 
626251747.9%
 
512693723.2%
 
4531499.7%
 
3173333.2%
 
254821.0%
 

QE_I37
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69537
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean4.881763096
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:05:59.710414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.38294441
Coefficient of variation (CV)0.2832878988
Kurtosis1.061212836
Mean4.881763096
Median Absolute Deviation (MAD)1
Skewness-1.32449217
Sum2336363
Variance1.912535241
MonotocityNot monotonic
2020-09-29T19:05:59.897334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
621684439.6%
 
511935921.8%
 
47261313.2%
 
3320575.8%
 
1235534.3%
 
2141642.6%
 
(Missing)6953712.7%
 
ValueCountFrequency (%) 
1235534.3%
 
2141642.6%
 
3320575.8%
 
47261313.2%
 
511935921.8%
 
ValueCountFrequency (%) 
621684439.6%
 
511935921.8%
 
47261313.2%
 
3320575.8%
 
2141642.6%
 

QE_I38
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing67664
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean4.913968401
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:00.080207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.306539823
Coefficient of variation (CV)0.2658828296
Kurtosis1.386731689
Mean4.913968401
Median Absolute Deviation (MAD)1
Skewness-1.357531161
Sum2360980
Variance1.707046309
MonotocityNot monotonic
2020-09-29T19:06:00.280771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
620940738.2%
 
513240724.2%
 
47684414.0%
 
3309255.6%
 
1194083.5%
 
2114722.1%
 
(Missing)6766412.3%
 
ValueCountFrequency (%) 
1194083.5%
 
2114722.1%
 
3309255.6%
 
47684414.0%
 
513240724.2%
 
ValueCountFrequency (%) 
620940738.2%
 
513240724.2%
 
47684414.0%
 
3309255.6%
 
2114722.1%
 

QE_I39
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing70538
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean5.010998997
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:00.617780image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.285014646
Coefficient of variation (CV)0.2564388153
Kurtosis1.843470211
Mean5.010998997
Median Absolute Deviation (MAD)1
Skewness-1.504994738
Sum2393198
Variance1.651262641
MonotocityNot monotonic
2020-09-29T19:06:00.797792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
622964941.9%
 
512584323.0%
 
46642512.1%
 
3274375.0%
 
1183923.4%
 
298431.8%
 
(Missing)7053812.9%
 
ValueCountFrequency (%) 
1183923.4%
 
298431.8%
 
3274375.0%
 
46642512.1%
 
512584323.0%
 
ValueCountFrequency (%) 
622964941.9%
 
512584323.0%
 
46642512.1%
 
3274375.0%
 
298431.8%
 

QE_I40
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing85998
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean4.628956417
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:00.982224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.499334205
Coefficient of variation (CV)0.3239032883
Kurtosis0.1110742909
Mean4.628956417
Median Absolute Deviation (MAD)1
Skewness-1.016147336
Sum2139175
Variance2.248003057
MonotocityNot monotonic
2020-09-29T19:06:01.182696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
617747132.4%
 
511092120.2%
 
48035914.7%
 
3425607.8%
 
1310085.7%
 
2198103.6%
 
(Missing)8599815.7%
 
ValueCountFrequency (%) 
1310085.7%
 
2198103.6%
 
3425607.8%
 
48035914.7%
 
511092120.2%
 
ValueCountFrequency (%) 
617747132.4%
 
511092120.2%
 
48035914.7%
 
3425607.8%
 
2198103.6%
 

QE_I41
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69857
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean4.831141405
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:01.367637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.509897414
Coefficient of variation (CV)0.3125343035
Kurtosis0.5060874107
Mean4.831141405
Median Absolute Deviation (MAD)1
Skewness-1.243754553
Sum2310590
Variance2.279790202
MonotocityNot monotonic
2020-09-29T19:06:01.548698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
623333442.6%
 
59761217.8%
 
46160711.2%
 
3351226.4%
 
1304585.6%
 
2201373.7%
 
(Missing)6985712.7%
 
ValueCountFrequency (%) 
1304585.6%
 
2201373.7%
 
3351226.4%
 
46160711.2%
 
59761217.8%
 
ValueCountFrequency (%) 
623333442.6%
 
59761217.8%
 
46160711.2%
 
3351226.4%
 
2201373.7%
 

QE_I42
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing65972
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean5.151567442
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:01.730783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.248727541
Coefficient of variation (CV)0.2423975917
Kurtosis2.803575009
Mean5.151567442
Median Absolute Deviation (MAD)0
Skewness-1.774753181
Sum2483854
Variance1.559320472
MonotocityNot monotonic
2020-09-29T19:06:01.931231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
626509148.4%
 
511614621.2%
 
4537239.8%
 
3212063.9%
 
1179103.3%
 
280791.5%
 
(Missing)6597212.0%
 
ValueCountFrequency (%) 
1179103.3%
 
280791.5%
 
3212063.9%
 
4537239.8%
 
511614621.2%
 
ValueCountFrequency (%) 
626509148.4%
 
511614621.2%
 
4537239.8%
 
3212063.9%
 
280791.5%
 

QE_I43
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing91516
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean4.729975844
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:02.115816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.563607314
Coefficient of variation (CV)0.3305740592
Kurtosis0.1821066256
Mean4.729975844
Median Absolute Deviation (MAD)1
Skewness-1.134266445
Sum2159759
Variance2.444867834
MonotocityNot monotonic
2020-09-29T19:06:02.316391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
620967538.3%
 
59385717.1%
 
46224811.4%
 
3363166.6%
 
1345466.3%
 
2199693.6%
 
(Missing)9151616.7%
 
ValueCountFrequency (%) 
1345466.3%
 
2199693.6%
 
3363166.6%
 
46224811.4%
 
59385717.1%
 
ValueCountFrequency (%) 
620967538.3%
 
59385717.1%
 
46224811.4%
 
3363166.6%
 
2199693.6%
 

QE_I44
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing99891
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean4.643326283
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:02.513517image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.607049366
Coefficient of variation (CV)0.3460987378
Kurtosis-0.09604573947
Mean4.643326283
Median Absolute Deviation (MAD)1
Skewness-1.034153163
Sum2081306
Variance2.582607664
MonotocityNot monotonic
2020-09-29T19:06:02.701658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
619652435.9%
 
59091716.6%
 
46272511.4%
 
3382597.0%
 
1377226.9%
 
2220894.0%
 
(Missing)9989118.2%
 
ValueCountFrequency (%) 
1377226.9%
 
2220894.0%
 
3382597.0%
 
46272511.4%
 
59091716.6%
 
ValueCountFrequency (%) 
619652435.9%
 
59091716.6%
 
46272511.4%
 
3382597.0%
 
2220894.0%
 

QE_I45
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing81584
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean4.869343233
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:02.902208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.464158811
Coefficient of variation (CV)0.3006891773
Kurtosis0.7416449319
Mean4.869343233
Median Absolute Deviation (MAD)1
Skewness-1.29558928
Sum2271758
Variance2.143761024
MonotocityNot monotonic
2020-09-29T19:06:03.087212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
622704341.4%
 
510006818.3%
 
46178411.3%
 
3337786.2%
 
1270504.9%
 
2168203.1%
 
(Missing)8158414.9%
 
ValueCountFrequency (%) 
1270504.9%
 
2168203.1%
 
3337786.2%
 
46178411.3%
 
510006818.3%
 
ValueCountFrequency (%) 
622704341.4%
 
510006818.3%
 
46178411.3%
 
3337786.2%
 
2168203.1%
 

QE_I46
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing147493
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean4.391484497
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:03.272032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.720769048
Coefficient of variation (CV)0.391842223
Kurtosis-0.6760120964
Mean4.391484497
Median Absolute Deviation (MAD)1
Skewness-0.7838010919
Sum1759378
Variance2.961046116
MonotocityNot monotonic
2020-09-29T19:06:03.472694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
615434628.2%
 
57525213.7%
 
46095211.1%
 
1469608.6%
 
3400267.3%
 
2230984.2%
 
(Missing)14749326.9%
 
ValueCountFrequency (%) 
1469608.6%
 
2230984.2%
 
3400267.3%
 
46095211.1%
 
57525213.7%
 
ValueCountFrequency (%) 
615434628.2%
 
57525213.7%
 
46095211.1%
 
3400267.3%
 
2230984.2%
 

QE_I47
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing79302
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean4.821498427
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:03.657202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.451710873
Coefficient of variation (CV)0.3010912261
Kurtosis0.6391792777
Mean4.821498427
Median Absolute Deviation (MAD)1
Skewness-1.234102152
Sum2260439
Variance2.107464459
MonotocityNot monotonic
2020-09-29T19:06:03.866723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
621315838.9%
 
510852319.8%
 
46779612.4%
 
3354276.5%
 
1264314.8%
 
2174903.2%
 
(Missing)7930214.5%
 
ValueCountFrequency (%) 
1264314.8%
 
2174903.2%
 
3354276.5%
 
46779612.4%
 
510852319.8%
 
ValueCountFrequency (%) 
621315838.9%
 
510852319.8%
 
46779612.4%
 
3354276.5%
 
2174903.2%
 

QE_I48
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80746
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.648776908
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:04.051583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.519037741
Coefficient of variation (CV)0.3267607311
Kurtosis0.08448369294
Mean4.648776908
Median Absolute Deviation (MAD)1
Skewness-1.036141589
Sum2172750
Variance2.307475659
MonotocityNot monotonic
2020-09-29T19:06:04.251793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
618713234.1%
 
511014120.1%
 
47481413.6%
 
3411977.5%
 
1317885.8%
 
2223094.1%
 
(Missing)8074614.7%
 
ValueCountFrequency (%) 
1317885.8%
 
2223094.1%
 
3411977.5%
 
47481413.6%
 
511014120.1%
 
ValueCountFrequency (%) 
618713234.1%
 
511014120.1%
 
47481413.6%
 
3411977.5%
 
2223094.1%
 

QE_I49
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing68699
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean5.06241396
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:04.436764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.271957505
Coefficient of variation (CV)0.2512551355
Kurtosis2.182848548
Mean5.06241396
Median Absolute Deviation (MAD)0
Skewness-1.603802894
Sum2427063
Variance1.617875896
MonotocityNot monotonic
2020-09-29T19:06:04.642631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
624157744.1%
 
512433222.7%
 
46107011.1%
 
3250874.6%
 
1183243.3%
 
290381.6%
 
(Missing)6869912.5%
 
ValueCountFrequency (%) 
1183243.3%
 
290381.6%
 
3250874.6%
 
46107011.1%
 
512433222.7%
 
ValueCountFrequency (%) 
624157744.1%
 
512433222.7%
 
46107011.1%
 
3250874.6%
 
290381.6%
 

QE_I50
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing142448
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean5.026000853
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:04.822156image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.442746416
Coefficient of variation (CV)0.2870565402
Kurtosis1.645188107
Mean5.026000853
Median Absolute Deviation (MAD)0
Skewness-1.60233325
Sum2038943
Variance2.081517221
MonotocityNot monotonic
2020-09-29T19:06:05.007081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
622429940.9%
 
58396515.3%
 
4422537.7%
 
1258154.7%
 
3198033.6%
 
295441.7%
 
(Missing)14244826.0%
 
ValueCountFrequency (%) 
1258154.7%
 
295441.7%
 
3198033.6%
 
4422537.7%
 
58396515.3%
 
ValueCountFrequency (%) 
622429940.9%
 
58396515.3%
 
4422537.7%
 
3198033.6%
 
295441.7%
 

QE_I51
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing109889
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean5.134440646
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:05.307128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.302172658
Coefficient of variation (CV)0.2536152909
Kurtosis2.725180743
Mean5.134440646
Median Absolute Deviation (MAD)0
Skewness-1.799082126
Sum2250107
Variance1.695653631
MonotocityNot monotonic
2020-09-29T19:06:05.507606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
624354844.4%
 
510337618.9%
 
4457898.4%
 
1203113.7%
 
3180443.3%
 
271701.3%
 
(Missing)10988920.0%
 
ValueCountFrequency (%) 
1203113.7%
 
271701.3%
 
3180443.3%
 
4457898.4%
 
510337618.9%
 
ValueCountFrequency (%) 
624354844.4%
 
510337618.9%
 
4457898.4%
 
3180443.3%
 
271701.3%
 

QE_I52
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing175581
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean4.033974328
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:05.695927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.971967299
Coefficient of variation (CV)0.4888398235
Kurtosis-1.348149487
Mean4.033974328
Median Absolute Deviation (MAD)1
Skewness-0.4786652491
Sum1502841
Variance3.888655027
MonotocityNot monotonic
2020-09-29T19:06:05.892634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
613740625.1%
 
17992314.6%
 
55578810.2%
 
4443738.1%
 
3319385.8%
 
2231184.2%
 
(Missing)17558132.0%
 
ValueCountFrequency (%) 
17992314.6%
 
2231184.2%
 
3319385.8%
 
4443738.1%
 
55578810.2%
 
ValueCountFrequency (%) 
613740625.1%
 
55578810.2%
 
4443738.1%
 
3319385.8%
 
2231184.2%
 

QE_I53
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing194195
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean3.750226032
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:06.077611image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.072708499
Coefficient of variation (CV)0.5526889529
Kurtosis-1.607392373
Mean3.750226032
Median Absolute Deviation (MAD)2
Skewness-0.238523175
Sum1327325
Variance4.29612052
MonotocityNot monotonic
2020-09-29T19:06:06.278086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
611981821.9%
 
19933318.1%
 
5457978.4%
 
4370016.8%
 
3281295.1%
 
2238544.4%
 
(Missing)19419535.4%
 
ValueCountFrequency (%) 
19933318.1%
 
2238544.4%
 
3281295.1%
 
4370016.8%
 
5457978.4%
 
ValueCountFrequency (%) 
611981821.9%
 
5457978.4%
 
4370016.8%
 
3281295.1%
 
2238544.4%
 

QE_I54
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing84678
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean5.052467478
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:06.456517image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.410184568
Coefficient of variation (CV)0.2791080941
Kurtosis1.685460326
Mean5.052467478
Median Absolute Deviation (MAD)0
Skewness-1.59919797
Sum2341561
Variance1.988620516
MonotocityNot monotonic
2020-09-29T19:06:06.641383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
626069547.6%
 
59125816.6%
 
4493199.0%
 
1253234.6%
 
3247944.5%
 
2120602.2%
 
(Missing)8467815.4%
 
ValueCountFrequency (%) 
1253234.6%
 
2120602.2%
 
3247944.5%
 
4493199.0%
 
59125816.6%
 
ValueCountFrequency (%) 
626069547.6%
 
59125816.6%
 
4493199.0%
 
3247944.5%
 
2120602.2%
 

QE_I55
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69807
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean5.097514216
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:06.825955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.234180858
Coefficient of variation (CV)0.2421142553
Kurtosis2.607679226
Mean5.097514216
Median Absolute Deviation (MAD)0
Skewness-1.682080093
Sum2438243
Variance1.523202391
MonotocityNot monotonic
2020-09-29T19:06:07.026435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
624203344.2%
 
512969923.7%
 
45947310.9%
 
3227904.2%
 
1173623.2%
 
269631.3%
 
(Missing)6980712.7%
 
ValueCountFrequency (%) 
1173623.2%
 
269631.3%
 
3227904.2%
 
45947310.9%
 
512969923.7%
 
ValueCountFrequency (%) 
624203344.2%
 
512969923.7%
 
45947310.9%
 
3227904.2%
 
269631.3%
 

QE_I56
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80471
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.854487059
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:07.211082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.435773894
Coefficient of variation (CV)0.295762225
Kurtosis0.7991439579
Mean4.854487059
Median Absolute Deviation (MAD)1
Skewness-1.282798022
Sum2270230
Variance2.061446674
MonotocityNot monotonic
2020-09-29T19:06:07.395574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
621692739.6%
 
510857519.8%
 
46678212.2%
 
3336696.1%
 
1257484.7%
 
2159552.9%
 
(Missing)8047114.7%
 
ValueCountFrequency (%) 
1257484.7%
 
2159552.9%
 
3336696.1%
 
46678212.2%
 
510857519.8%
 
ValueCountFrequency (%) 
621692739.6%
 
510857519.8%
 
46678212.2%
 
3336696.1%
 
2159552.9%
 

QE_I57
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing66983
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean5.161357099
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:07.580546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.19362752
Coefficient of variation (CV)0.2312623399
Kurtosis3.184509485
Mean5.161357099
Median Absolute Deviation (MAD)0
Skewness-1.803837384
Sum2483356
Variance1.424746656
MonotocityNot monotonic
2020-09-29T19:06:07.781145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
625432546.4%
 
512980523.7%
 
45522810.1%
 
3198433.6%
 
1159462.9%
 
259971.1%
 
(Missing)6698312.2%
 
ValueCountFrequency (%) 
1159462.9%
 
259971.1%
 
3198433.6%
 
45522810.1%
 
512980523.7%
 
ValueCountFrequency (%) 
625432546.4%
 
512980523.7%
 
45522810.1%
 
3198433.6%
 
259971.1%
 

QE_I58
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing77333
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean5.074497551
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:07.959578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.345642471
Coefficient of variation (CV)0.2651774796
Kurtosis1.918462088
Mean5.074497551
Median Absolute Deviation (MAD)0
Skewness-1.616986227
Sum2389043
Variance1.810753659
MonotocityNot monotonic
2020-09-29T19:06:08.159927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
625807047.1%
 
510162318.5%
 
4532569.7%
 
3248654.5%
 
1210713.8%
 
2119092.2%
 
(Missing)7733314.1%
 
ValueCountFrequency (%) 
1210713.8%
 
2119092.2%
 
3248654.5%
 
4532569.7%
 
510162318.5%
 
ValueCountFrequency (%) 
625807047.1%
 
510162318.5%
 
4532569.7%
 
3248654.5%
 
2119092.2%
 

QE_I59
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing74628
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean4.896219422
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:08.346638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.452627116
Coefficient of variation (CV)0.2966834186
Kurtosis0.9275266914
Mean4.896219422
Median Absolute Deviation (MAD)1
Skewness-1.35411502
Sum2318355
Variance2.110125539
MonotocityNot monotonic
2020-09-29T19:06:08.529879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
623276142.5%
 
510481819.1%
 
46104611.1%
 
3314685.7%
 
1277015.1%
 
2157052.9%
 
(Missing)7462813.6%
 
ValueCountFrequency (%) 
1277015.1%
 
2157052.9%
 
3314685.7%
 
46104611.1%
 
510481819.1%
 
ValueCountFrequency (%) 
623276142.5%
 
510481819.1%
 
46104611.1%
 
3314685.7%
 
2157052.9%
 

QE_I60
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing94765
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean4.688008699
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:08.714813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.603922272
Coefficient of variation (CV)0.3421329555
Kurtosis0.05117412575
Mean4.688008699
Median Absolute Deviation (MAD)1
Skewness-1.103176389
Sum2125365
Variance2.572566653
MonotocityNot monotonic
2020-09-29T19:06:08.932523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
620559437.5%
 
59280016.9%
 
46085111.1%
 
1388747.1%
 
3350376.4%
 
2202063.7%
 
(Missing)9476517.3%
 
ValueCountFrequency (%) 
1388747.1%
 
2202063.7%
 
3350376.4%
 
46085111.1%
 
59280016.9%
 
ValueCountFrequency (%) 
620559437.5%
 
59280016.9%
 
46085111.1%
 
3350376.4%
 
2202063.7%
 

QE_I61
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing73402
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean4.882359261
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:09.115562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4411343
Coefficient of variation (CV)0.2951717034
Kurtosis0.8714643016
Mean4.882359261
Median Absolute Deviation (MAD)1
Skewness-1.324030572
Sum2317778
Variance2.07686807
MonotocityNot monotonic
2020-09-29T19:06:09.300557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
622779241.6%
 
510826819.8%
 
46300111.5%
 
3326095.9%
 
1262554.8%
 
2168003.1%
 
(Missing)7340213.4%
 
ValueCountFrequency (%) 
1262554.8%
 
2168003.1%
 
3326095.9%
 
46300111.5%
 
510826819.8%
 
ValueCountFrequency (%) 
622779241.6%
 
510826819.8%
 
46300111.5%
 
3326095.9%
 
2168003.1%
 

QE_I62
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing103707
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean4.87600018
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:09.485306image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.476631037
Coefficient of variation (CV)0.3028365428
Kurtosis0.8347281017
Mean4.87600018
Median Absolute Deviation (MAD)1
Skewness-1.337890969
Sum2166992
Variance2.18043922
MonotocityNot monotonic
2020-09-29T19:06:09.681968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
621749039.7%
 
59797617.9%
 
45658410.3%
 
3290655.3%
 
1279695.1%
 
2153362.8%
 
(Missing)10370718.9%
 
ValueCountFrequency (%) 
1279695.1%
 
2153362.8%
 
3290655.3%
 
45658410.3%
 
59797617.9%
 
ValueCountFrequency (%) 
621749039.7%
 
59797617.9%
 
45658410.3%
 
3290655.3%
 
2153362.8%
 

QE_I63
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing110692
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean4.895943397
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:10.001634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.460392364
Coefficient of variation (CV)0.2982862026
Kurtosis0.9515435191
Mean4.895943397
Median Absolute Deviation (MAD)1
Skewness-1.368072719
Sum2141657
Variance2.132745858
MonotocityNot monotonic
2020-09-29T19:06:10.186534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
621526239.3%
 
59799817.9%
 
45511610.1%
 
3281775.1%
 
1266644.9%
 
2142182.6%
 
(Missing)11069220.2%
 
ValueCountFrequency (%) 
1266644.9%
 
2142182.6%
 
3281775.1%
 
45511610.1%
 
59799817.9%
 
ValueCountFrequency (%) 
621526239.3%
 
59799817.9%
 
45511610.1%
 
3281775.1%
 
2142182.6%
 

QE_I64
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80579
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.931775989
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:10.364941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.434927949
Coefficient of variation (CV)0.2909556216
Kurtosis1.109656322
Mean4.931775989
Median Absolute Deviation (MAD)0
Skewness-1.409659801
Sum2305842
Variance2.059018217
MonotocityNot monotonic
2020-09-29T19:06:10.549494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
623454242.8%
 
510463319.1%
 
45790110.6%
 
3291565.3%
 
1262794.8%
 
2150372.7%
 
(Missing)8057914.7%
 
ValueCountFrequency (%) 
1262794.8%
 
2150372.7%
 
3291565.3%
 
45790110.6%
 
510463319.1%
 
ValueCountFrequency (%) 
623454242.8%
 
510463319.1%
 
45790110.6%
 
3291565.3%
 
2150372.7%
 

QE_I65
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing103082
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean4.943457403
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:10.734385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.519777877
Coefficient of variation (CV)0.3074321782
Kurtosis1.067406914
Mean4.943457403
Median Absolute Deviation (MAD)0
Skewness-1.466883427
Sum2200061
Variance2.309724796
MonotocityNot monotonic
2020-09-29T19:06:10.919341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
624066343.9%
 
58771616.0%
 
4466648.5%
 
1331116.0%
 
3239544.4%
 
2129372.4%
 
(Missing)10308218.8%
 
ValueCountFrequency (%) 
1331116.0%
 
2129372.4%
 
3239544.4%
 
4466648.5%
 
58771616.0%
 
ValueCountFrequency (%) 
624066343.9%
 
58771616.0%
 
4466648.5%
 
3239544.4%
 
2129372.4%
 

QE_I66
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing81450
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean5.141461868
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:11.103477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.289091542
Coefficient of variation (CV)0.2507247113
Kurtosis2.587591058
Mean5.141461868
Median Absolute Deviation (MAD)0
Skewness-1.757384699
Sum2399402
Variance1.661757005
MonotocityNot monotonic
2020-09-29T19:06:11.303915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
626264847.9%
 
510369018.9%
 
4510699.3%
 
3217154.0%
 
1194673.6%
 
280881.5%
 
(Missing)8145014.9%
 
ValueCountFrequency (%) 
1194673.6%
 
280881.5%
 
3217154.0%
 
4510699.3%
 
510369018.9%
 
ValueCountFrequency (%) 
626264847.9%
 
510369018.9%
 
4510699.3%
 
3217154.0%
 
280881.5%
 

QE_I67
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing100640
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean4.701090758
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:11.488826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.591934965
Coefficient of variation (CV)0.3386309788
Kurtosis0.08761007578
Mean4.701090758
Median Absolute Deviation (MAD)1
Skewness-1.11036344
Sum2103677
Variance2.534256932
MonotocityNot monotonic
2020-09-29T19:06:11.689125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
620439337.3%
 
59012516.4%
 
46136611.2%
 
1369806.7%
 
3350046.4%
 
2196193.6%
 
(Missing)10064018.4%
 
ValueCountFrequency (%) 
1369806.7%
 
2196193.6%
 
3350046.4%
 
46136611.2%
 
59012516.4%
 
ValueCountFrequency (%) 
620439337.3%
 
59012516.4%
 
46136611.2%
 
3350046.4%
 
2196193.6%
 

QE_I68
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80283
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean4.922572481
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T19:06:11.867607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.488733493
Coefficient of variation (CV)0.3024299791
Kurtosis0.8640140357
Mean4.922572481
Median Absolute Deviation (MAD)0
Skewness-1.376231049
Sum2302996
Variance2.216327412
MonotocityNot monotonic
2020-09-29T19:06:12.071711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
624619844.9%
 
59095416.6%
 
4539089.8%
 
3307015.6%
 
1288635.3%
 
2172203.1%
 
(Missing)8028314.6%
 
ValueCountFrequency (%) 
1288635.3%
 
2172203.1%
 
3307015.6%
 
4539089.8%
 
59095416.6%
 
ValueCountFrequency (%) 
624619844.9%
 
59095416.6%
 
4539089.8%
 
3307015.6%
 
2172203.1%